Training Program Offerings - List 2

DL0 - Data Leadership???? ????????????? Data Leadership Framework (DLF)

????????????? Data Architecture

????????????? Data Governance

????????????? Metadata and Master Data Management

????????????? Data Modeling and Warehousing

????????????? DevOps

????????????? Data Security

????????????? Business vs. IT issues

????????????? How to launch Data Initiatives

????????????? Data Curation and Enrichment

????????????? Machine Learning and AI

????????????? Business Intelligence and Analytics

????????????? Regulatory Compliance

????????????? ?Pitfalls encountered

Immuta Overview; What is Immuta?; Data and Integrations; Immuta Integrations; Snowflake; Databricks Unity Catalog; Databricks Spark; Databricks Spark with Unity Catalog Support; Databricks SQL; Starburst; Redshift; Azure Synapse Analytics; Registering Metadata; Data Sources in Immuta; Register Data Sources; Data Source Settings; Schema Monitoring; Section Contents; Schema Monitoring; Schema Projects; Why Use Schema Monitoring?; Catalogs; Tags; People; Identity Managers (IAMs); Azure Active Directory; Okta; OneLogin; SAML; Identity Managers; SAML SLO; SAML IAM Protocol Configuration Options; Immuta Users; Discover Your Data; Introduction; Architecture; Identification; Enable SDD; Create Frameworks; Create Patterns; Manage Rules; Manage SDD on Data Sources; Manage Global SDD Settings; Built-In Discovered Tags; Built-In Patterns; Classification; Overview; Activate a Framework; Adjust and Accept Tags; Immuta DSF; Built-in Frameworks; Detect Your Activity; Detection; Audit; Secure Your Data; Getting Started; Select Your Use Case; Use Case; Automate Data Access Control Decisions; Overview; The Two Paths; Managing User Metadata; Managing Data Metadata; Author Policy; Test and Deploy Policy; Compliantly Open more Sensitive Data for ML and Analytics; Overview; Managing User Metadata; Managing Data Metadata; Author Policy; Federated Governance for Data Mesh and Self-Serve Data Access; Overview; Defining Domains; Managing Data Products; Managing Data Metadata; Applying Federated Governance; Discover and Subscribe to Data Products; Introduction; Introduction; Scalability and Evolvability; Understandability; Distributed Stewardship; Consistency; Availability (of data); Authoring Policies in Secure; Overview; Authoring Policies at Scale; Data Engineering with Limited Policy Downtime; Subscription Policies; Data Policies; Projects and Purpose-Based Access Control; Section Contents; Projects and Purpose Controls; Equalized Access; Masked Joins; Writing to Projects; Data Consumers; Section Contents; Subscribe to Data Sources; Query Data; Subscribe to Projects; System Configuration; App Settings; BI Tools; IP Filtering; The Immuta CLI; Introduction; Install and Configure the CLI; Manage Instances; Manage Data Sources; Manage Sensitive Data Discovery; Introduction; Manage Rules; Manage Frameworks; Run Sensitive Data Discovery; Manage Policies; Manage Purposes; Manage Projects; Immuta API; Introduction; Integrations API

Reltio MDM (30+)??????????? Reltio Connected Data Platform and Architecture , Reltio Configuration Fundamentals , Creating Match Rules , Exporting Data from Reltio , Loading Data into Reltio , Reference Data Management , Data Tenant Subscription Service , Reference Data Management , Data Tenant Subscription Service , Business Data Management Problems , Introduction to Reltio , Reltio Differentiators , Advantages of Reltio , Reltio Product Features. , Reltio User Interface , Reltio Terminology , Functions and Navigation Process , Reltio Console , Reference Data Management UI , Match Rule Framework , Survivorship , Types of Match Rules , Construct Match Rules , Match Level Cleansers , Introduction to Reltio DTSS , Records Sharing Between Tenants , Record Enrichment , Configure, Operate and DTSS , Use of Postman , Methods for Data Loading , Data Extraction Types , Extracting Data from a Reltio Tenant , Extracting Data in Batch , Extracting Data in Ad-hoc form , Extracting Data via API Calls

Starbust?????????????? Technical concepts; Starburst architecture; Data sources and catalogs; Security in Starburst products; Which Starburst product is right for you?; Trino; Starburst Galaxy; Starburst Enterprise; Open source software; Data sources; Analytics; Massively parallel processing; SQL; Query engine; Object storage; Trino-based architecture; Introduction; Cluster node basics; The coordinator; Workers; Communications and security; Client to cluster; Inside the cluster; Security between the cluster and data sources; Starburst products overview; Starburst Galaxy; Starburst Enterprise; Considerations for choosing your Starburst product; People; Data sources; Location; Security; Data sources; Catalogs; Connectors; Schemas; Objects; Context; Querying from multiple catalogs; Catalog session properties; Architecture; Starburst for the data lake; Scaling and optionality; High performance; Ease of consumption; Object storage fundamentals; Requirements; Starburst Enterprise; Starburst Galaxy; Starburst Galaxy; Starburst Enterprise; Introduction; User authentication and client security; Authentication; Secure client connections; Security inside the cluster; Additional security with secrets; Security between the cluster and data sources; Catalog security; Authorization; Built-in access control; Entities; Roles and privileges; Web UI access; Audit log; Third-party access control; How does this work?; How do I get started?; What kind of tools can I use?; How do I migrate my data sources to Starburst?; General SQL features; Advanced SQL; Advanced aggregation techniques; Window functions; Array and map functions; Using JSON; Getting and installing Starburst drivers; Migrate queries from ANSI-standard SQL implementations; Reduce ETL; Reduce or remove duplicative or similar processing; Optimize around end usage; Reduce or remove the need for temp tables and intermediate disk storage; Reduce or remove little-used queries and data products; Migrating queries from Hive; Use subscript for accessing a dynamic index of an array instead of a udf; Avoid out of bounds access of arrays; Use ANSI SQL syntax for arrays; Use ANSI SQL syntax for identifiers and strings; Quote identifiers that start with numbers; Use the standard string concatenation operator; Use standard types for CAST targets; Use CAST when dividing integers; Use WITH for complex expressions or queries; Use UNNEST to expand arrays and maps; Use ANSI SQL syntax for date and time INTERVAL expressions; Caution using datediff(); Overwriting data on insert; The query lifecycle; The EXPLAIN statement in detail; General optimizations; Cost-based optimizations; Fault-tolerant execution; Warp speed

Cosmos DB???????? Get started with Azure Cosmos DB SQL API; Introduction to Azure Cosmos DB SQL API; Try Azure Cosmos DB SQL API; Lab : Create an Azure Cosmos DB SQL API account;? Plan and implement Azure Cosmos DB SQL API; Plan Resource Requirements; Configure Azure Cosmos DB SQL API database and containers; Moving data into and out of Azure Cosmos DB SQL API; Lab : Configure throughput for Azure Cosmos DB SQL API with the Azure portal; Lab : Migrate existing data using Azure Data Factory;? Connect to Azure Cosmos DB SQL API with the SDK; Use the Azure Cosmos DB SQL API SDK; Configure the Azure Cosmos DB SQL API SDK; Lab : Configure the Azure Cosmos DB SQL API SDK for offline development; Lab : Connect to Azure Cosmos DB SQL API with the SDK;? Access and manage data with the Azure Cosmos DB SQL API SDKs; Implement Azure Cosmos DB SQL API point operations; Perform cross-document transactional operations with the Azure Cosmos DB SQL API; Process bulk data in Azure Cosmos DB SQL API; Lab : Create and update documents with the Azure Cosmos DB SQL API SDK; Lab : Batch multiple point operations together with the Azure Cosmos DB SQL API SDK; Lab : Move multiple documents in bulk with the Azure Cosmos DB SQL API SDK;? Execute queries in Azure Cosmos DB SQL API; Query the Azure Cosmos DB SQL API; Author complex queries with the Azure Cosmos DB SQL API; Lab : Paginate cross-product query results with the Azure Cosmos DB SQL API SDK; Lab : Execute a query with the Azure Cosmos DB SQL API SDK;? Define and implement an indexing strategy for Azure Cosmos DB SQL API; Define indexes in Azure Cosmos DB SQL API; Customize indexes in Azure Cosmos DB SQL API; Lab : Review the default index policy for an Azure Cosmos DB SQL API container with the portal; Lab : Configure an Azure Cosmos DB SQL API container's index policy with the portal;? Integrate Azure Cosmos DB SQL API with Azure services; Consume an Azure Cosmos DB SQL API change feed using the SDK; Handle events with Azure Functions and Azure Cosmos DB SQL API change feed; Search Azure Cosmos DB SQL API data with Azure Cognitive Search; Lab : Archive Azure Cosmos DB SQL API data using Azure Functions; Lab : Process change feed events using the Azure Cosmos DB SQL API SDK; Lab : Archive data using Azure Functions and Azure Cosmos DB SQL API;? Implement a data modeling and partitioning strategy for Azure Cosmos DB SQL API; Model and partition your data in Azure Cosmos DB; Optimize databases by using advanced modeling patterns for Azure Cosmos DB; Lab : Measure performance for customer entities; Lab : Advanced modeling patterns;? Design and implement a replication strategy for Azure Cosmos DB SQL API; Configure replication and manage failovers in Azure Cosmos DB; Use consistency models in Azure Cosmos DB SQL API; Configure multi-region write in Azure Cosmos DB SQL API; Lab : Configure consistency models in the portal and the Azure Cosmos DB SQL API SDK; Lab : Connect to different regions with the Azure Cosmos DB SQL API SDK; Lab : Connect to a multi-region write account with the Azure Cosmos DB SQL API SDK;? Optimize query performance in Azure Cosmos DB SQL API; Choosing indexes in Azure Cosmos DB SQL API; Optimize queries in Azure Cosmos DB SQL API; Implement integrated cache; Lab : Optimize an Azure Cosmos DB SQL API container's index policy for common operations; Lab : Optimize an Azure Cosmos DB SQL API container's index policy for a specific query;? Administrating and Monitoring tasks for an Azure Cosmos DB SQL API solution; Measure performance in Azure Cosmos DB SQL API; Monitor responses and events in Azure Cosmos DB SQL API; Implementing backup and restore for Azure Cosmos DB SQL API; Implement security in Azure Cosmos DB SQL API; Lab : Troubleshoot an application using the Azure Cosmos DB SQL API SDK; Lab : Use Azure Monitor to analyze an Azure Cosmos DB SQL API account; Lab : Recover a database or container from a recovery point; Lab : Store Azure Cosmos DB SQL API account keys in Azure Key Vault;? Manage an Azure Cosmos DB SQL API solution using DevOps practices; Write scripts for Azure Cosmos DB SQL API; Create resource template for Azure Cosmos DB SQL API; Lab : Adjust provisioned throughput using an Azure CLI script; Lab : Create an Azure Cosmos DB SQL API container using Azure Resource Manager templates;? Create server-side programming constructs in Azure Cosmos DB SQL API; Build multi-item transactions with the Azure Cosmos DB SQL API; Expand query and transaction functionality in Azure Cosmos DB SQL API; Lab : Implement and then use a UDF using the SDK; Lab : Create a stored procedure with the Azure Portal

Azure Purview??? Microsoft Purview governance ; Overview; What are Microsoft Purview governance solutions?; Creations; Create an account; Create an account - Azure portal; Create an account - PowerShell/CLI; Create an account - .NET SDK; Create an account - Python; Create an account - Bicep; Create an account - ARM; Create a collection - Azure portal; Data Policy; Share and receive data; .NET data sharing; Data Policy; Create a simple DevOps policy; Tutorials; Deployment checklist; Data owner policies for Azure Storage; Integrate with Microsoft Sentinel; Onboard Azure sources at scale; Azure source readiness at scale; MSI configuration at scale; Onboard an on-premises SQL Server instance; Use Atlas 2.2 APIs; Use REST APIs for data planes; Use REST APIs for collections; Use the Python SDK; Concepts; Use the Microsoft Purview governance portal; Best practices and guidelines; Accounts architecture best practices; Accounts - Default account; Asset lifecycle best practices; Automation best practices; Backup, recovery and migration best practices; Classification best practices; Collections architecture best practices; Deployment best practices; Glossary best practices; Labeling best practices; Lineage best practices; Network architecture best practices; Pricing guidelines; Pricing guidelines overview; Data map pricing; Data Estate Insights pricing; Scanning best practices; Security best practices; Permissions and access; Data map; Classification; Data lineage; Elastic data map; Metamodel; Resource sets; Scans and ingestion; Data catalog; Business glossary; Asset normalization; Workflows; Data Sharing; Data policies; Data owner policies; DevOps policies; Self-service data access policy; Data Estate Insights; Data Estate Insights; Insights permissions; Labs; Manage collections; Manage sources; Supported sources; Manage data sources; Manage credentials; Manage integration runtimes; Create and manage a self-hosted integration runtime; Self-hosted integration runtime auto-update and expiration; Manage assets with Metamodel; Create Service Principal; Request access to data asset; Sources; Azure Multiple Source; Azure Synapse Analytics workspaces; Azure Arc-enabled SQL Server; Azure Blob Storage; Azure Files; Azure Cosmos DB; Azure Data Explorer; Azure Data Lake Storage Gen 1; Azure Data Lake Storage Gen 2; Azure Database for MySQL; Azure Database for PostgreSQL; Azure Databricks; Azure SQL Database; Azure SQL Managed Instance; Azure Dedicated SQL pool (formerly SQL DW); Cassandra; Db2; Erwin; Google BigQuery; HDFS; Hive Metastore Database; Looker; MongoDB; MySQL; On-premises SQL Server; Oracle; PostgreSQL; Power BI tenant; Salesforce; SAP Business Warehouse; SAP ECC; SAP HANA; SAP S/4HANA; Snowflake; Teradata; Amazon RDS; Amazon S3; Scan; Scan a registered source; Create a scan rule set; Resource set pattern rules; Monitor data map population; Troubleshoot connection issues; Data catalog; Browse Data Catalog; Search Data Catalog; Manage catalog assets; Bulk edit assets; Asset certification; Managed attributes; Lineage; Lineage user guide; Azure Data Factory lineage; Azure Data Share lineage; Azure Synapse Analytics lineage; Power BI lineage; Spark lineage; SQL Server Integration Services lineage; Business glossary; Create & manage glossaries; Create & manage terms; Import & export terms; Manage term templates; Classify; Automatically apply classifications; Manually apply classifications; System classifications; Create custom classifications; Label; Labeling in Microsoft Purview; How to label your data; Sensitivity labels FAQ; Data sharing; Share data; Receive share; Data sharing FAQ; Data Estate Insights; Disable Data Estate Insights; Schedule report refresh; View data stewardship; View asset insights; View glossary insights; View classification insights; View sensitivity label insights; Networking & security; Private endpoints; Private endpoints overview; Network firewall settings; End-to-end network isolation; Isolate network for account and portal; Managed virtual network; Configure DNS for private endpoint; Troubleshoot private endpoints; Private endpoint and Managed VNets FAQ; Deployment exceptions; Conditional access; Data policies; Register data sources for "Data use management"; Impact of deleting Microsoft Purview account on access policies; DevOps policies; DevOps policies - Create, list, update and delete policies; DevOps policies - Azure SQL Database; DevOps policies - Azure Arc enabled SQL Servers; DevOps policies - Resource groups or Subscriptions; Data owner policies; Data owner policies - Author and publish policies; Data owner policies - Azure Storage; Data owner policies - Azure SQL Database; Data owner policies - Azure Arc enabled SQL Servers; Data owner policies - Resource groups or Subscriptions; Self-service access policies; View self-service data access policy; Delete self-service data access policy; Self-service policies Azure SQL DB; Self-service policies Azure Storage; Workflows; Self-service hybrid data access; Approval for business terms; Approval for data asset curation; Manage requests and approvals; Manage workflow runs; Workflow connectors; Workflow dynamic content; Workflow HTTP connector; Kafka notifications; Configure for Kafka notifications; Publish and receive Kafka notifications - .NET; Disaster recovery; Monitor with Azure Monitor; Integrate with Azure security products; Master Data Management; Profisee

DBT and Clickhouse???????? Setup of dbt and the ClickHouse plugin

Connecting to ClickHouse

Creating a Simple View Materialization

Creating a Table Materialization

Creating an Incremental Materialization

Table materialization

?View materialization

?Incremental materialization

?Materialized View materializations (uses the TO form of MATERIALIZED VIEW, experimental)

?Seeds

?Sources

?Docs generate

?Tests

?Snapshots

?Most dbt-utils macros (now included in dbt-core)

?Ephemeral materialization

?Distributed table materialization (experimental)

?Distributed incremental materialization (experimental)

?Contracts

Profisee MDM??? Fundamentals – MDM Basics??????????????????????????????????????????????????

Fundamentals – Technology Discipline?????????????????????????????????? ?????????????

Infrastructure – Environment Architecture???????????? ???????????????????????????? ??????????????

Stewardship – FastApp Portal????? ??????????????????????????????????????????? ?

Administration – Matching?????????? ????????????????????????????

Administration – Integrator Connector???? ?????????????? ?????????????

Integrator Application Connector

Atacamma One DQG (30+)?????????? Connect to a Source, Term Suggestions: Behind the Scenes, Data Quality, Monitoring Projects, Data Reconciliation, DQ Firewalls, Data Observability, Data Observability Dashboards, Data Freshness Custom Configuration, Anomaly Detection, Time Series Data, Reports, Lineage, Tasks and Workflows, Generative AI in ONE, ONE Data, Data Stories, Notifications, User Access Management, Audit, UI Customization, Metadata Model, Import and Export, Processing Center, ONE API, DPM Admin Console, DPM CLI, Deployment Guide, Upgrade Guide, Configuration Reference

Atacamma One MDM (30+)????????? Introduction to MDM, Architecture, Features, MDM Model, MDM Storage, Supported Platforms and Databases, , MDM Web Application User Guide, Web Application Basics, Exploring Master Data, Creating Tasks, Working with Tasks, Editing Master Data, Matching Proposals, Publishing Changes, AI Matching, MDM Web App Admin Center, , Project Configuration, Logical Models, Input and Output Interfaces, MDM Example Project, MDM Preferences, Mixed Style in MDM, Impact of Changes to the MDM Project, Server Setup, Matching Configuration, , MDM Server Configuration Reference, MDM Server Application Properties, MDM Engine Configuration File, Event Handler, Model, Persistence Layer, Batch Interface, Native Services, Executor, Streaming Interface, Security and Audit, REST API, History Plugin, Runtime Parameters, Task Configuration, MDM Version Check, , Advanced Configuration, Persistent Storage, MDM Integration, MDM Admin Center Extras, Performance Tuning, High Availability, AI Matching, , MDM Web Application Configuration, Constructing Record Detail Templates, Configuring Hierarchies, Configuring Workflows and Permissions, Configuring Validations, Configuring Display Settings and Data Type Formats, Configuring Data Samples, Configuring Audit Log, Customizing the Left Navigation Panel, Customizing Dashboard Statistics, Configuring Search Definitions, Configuring Data Sets, Configuring a Custom Action, Configuring Tasks, Configuring Enrichments and Autocorrects, , MDM Web Application Reference, Server Configuration for MDM Web App, MDM Web App Backend, MDM Web App Application Properties, MDM Web App Permissions, MDM Web App Validations, MDM Web App Runtime Configuration, MDM Web App Enrichments and Autocorrects

Certified Data Recovery Professional (CDRP) (30+)????????????? Module 1: Logical Recovery of disabled hard drives; Module 2: Using file format recognition tools; Module 3: Logical recovery via avoiding BIOS interrupts; Module 4: Motions that unlock the actuator of a drive; Module 5: Diagnosing the physical recovery of drives; Module 6: Comparing pre-recorded sound samples to live drives; Module 7: Logic board replacements; Module 8: Single and Multi-Platter Swaps; Module 9: Head Assembly replacement; Module 10: P-List and G-List recovery; Module 11: Addressing SMART values; Module 12: Dealing with damaged sectors; Module 13: Reverse scanning; Module 14: Capturing SID protected folders; Module 15: Resolving kernel or driver issues with a Linux bootable disk; Module 16: Head Stack replacement; Module 17: Working with the Service Area (SA) of a drive; Module 18: Reviewing data structures with a Hex Editor; Module 19: Diagnosing "clicking noises"; Module 20: Mac OS X Data Recovery; Module 21: Linux Data Recovery; Module 22: RAID 0 Recovery & RAID 5 Recovery; Module 23: Vista and Recovery of Shadow Copies; Module 24: Clearing passwords on a password-protected drive; Module 25: Solid-state drive recovery; Module 26: Firmware issues

Adobe (20+)??????? Adobe Analytics; 1) Adobe Journey Optimizer; 2) Adobe Campaign; 3) Adobe RTCDP; 4) Adobe Target; 5) Adobe Audience Manager; 6) Adobe AEM CMS (for webops); 7) Customer Journey Analytics; 8) Adobe Experience Platform

Advance Robot Framework with Python (20+)????? Introduction to Python, Installation, Basic syntax, Conditional, Looping, Function, Object Oriented Programming, Introduction to test library, Static library, Dynamic library, Hybrid library, Create test library ???? test module, Test library names, Arguments of test library, Scope of test library, Library version, Document of library, Create Keyword, Method in python vs Keyword, Keyword names, Keyword tags, Keyword arguments, Default value of keywords, Number of arguments, Free keyword arguments, Communicate with Robot Framework, Report keyword status, Stop test execution, Continue test execution, Logging information, Return values, Distributing/Publish test library, Documentation, Testing, Packaging, Deprecate keywords, Extending existing test library, Modify original source code of test library, Using inheritance

Chat GPT (30+)?? What is ChatGPT?, How does ChatGPT work?, Features of ChatGPT, Limitations and risks of ChatGPT, Ways to use ChatGPT , How is Chat GPT trained? What type of machine learning is Chat GPT?, Where does ChatGPT get its data? Introduction to ChatGPT and its capabilities, Creating an account in OpenAI, Overview of what ChatGPT can be used for, Limitations of ChatGPT, including its only being trained on data up to 2021 and how it handles conversation history, The art of asking questions to ChatGPT and learning from its responses, How to summarize and expand on a topic with ChatGPT, Handling abusive queries, Personalizing conversations with ChatGPT by customizing its responses and adjusting its tone, Exploring ChatGPT's conversation history and using it to keep track of past conversations, Using ChatGPT for productivity, such as scheduling and task management, Building chatbots with ChatGPT, Integrating ChatGPT with other tools, such as Slack and Discord, Using ChatGPT for language translation, Generating creative content with ChatGPT, Discovering new knowledge with ChatGPT, ChatGPT's limitations and how to maintain ethical standards when using it, Best practices for maximizing the potential of ChatGPT, including understanding its limitations and effectively contextualizing queries

Graph QL (40+)? Introduction, Queries and Mutations, Fields, Arguments, Aliases, Fragments, Operation Name, Variables, Directives, Mutations, Inline Fragments, , Schemas and Types, Type System, Type Language, Object Types and Fields, Arguments, The Query and Mutation Types, Scalar Types, Enumeration Types, Lists and Non-Null, Interfaces, Union Types, Input Types, The Schema Definition Language (SDL), Fetching Data with Queries, Writing Data with Mutations, Realtime Updates with Subscriptions, Defining a Schema, , Clients, Send Queries and Mutations Directly, View Layer Integrations & UI updates, Caching Query Results: Concepts and Strategies, Build-time Schema Validation & Optimizations, Colocating Views and Data Dependencies, Server, GraphQL execution, Batched Resolving, , , Validation, Execution, Introspection, Enhancing Reusability with Fragments, Parameterizing Fields with Arguments, Named Query Results with Aliases, Advanced SDL, Security, Timeout, Query Complexity, Throttling, Authentication and Authorization, , Use Cases, React + Apollo, Apollo vs Relay vs urql, Queries: Loading Links, Mutations: Creating Links, Routing, Authentication, More Mutations and Updating the Store, Filtering: Searching the List of Links, Realtime Updates with GraphQL Subscriptions, Pagination, GraphQL server with a connected database,? GraphQL server that is a thin layer in front of a number of third party or legacy systems and integrates them through a single GraphQL API, a hybrid approach of a connected database and third party or legacy systems that can all be accessed through the same GraphQL API

No SQL (50+)????? MongoDB,Cassandra, Arango DB, Redis, Snowflake, Neo4J

Elastic Search Kibana (50+)?????????? 1. Introduction to ELK Stack, An overview of ELK Stack, Why choose ELK?, Architecture of ELK, An explanation of Elastic Search, Logstash and Kibana, 2. Introduction to Logstash, A brief explanation of Logstash, Installation process, Log file configuration, Stashing process of the first event, Analyzing logs with Logstash, Uses of input and output, Plugins, Execution model, 3. Introduction to Elastic Search, Then inverted index, Lucene internals, Indexes and Documents, Shards, Cluster Structure - Nodes, Data Replication - Replicas and synchronization, Pipelining and batching, Distributing documents across nodes, An overview of Elastic Search, Installation and running process, The ElasticSearch Data Model:, , Data Model and ElasticSearch API Introduction, Key/Value access, Lists, Objects, Numeric types, Keywords, Text, 4. Indexing and Searching in Depth, Creating an index, Adding documents - Adding Documents to an Index, Basic CRUD on a document - Get a documents by ID, Modifying - Overwrite a documents, Updating documents, Upserts, Get a whole and partial Documents, Batch processing - Performing Bulk Operations on Documents, Bulk Indexing of Documents from a JSON File, Importing test data with cURL, Deleting Documents and Indices, Organized Search, Full-text Search, Intricate Search, Phrase Search, Underlining the Search, Multi-field Search, Proximity Matching, Partial Matching, , 5. ElasticSearch Mapping, ElasticSearch mapping - schema of a document, What is Dynamic mapping?, Field data types, Adding a mappings to existing indices, Updating an existing mappings, Parameters of mappings (parameters, custom dates), Adding multi-fields mappings, , 6. Dealing with Human Languages, An introduction to various human languages, Identifying Words, Controlling Tokens, Decreasing Words to their actual Root Form, Stop words: Performance versus Precision, Synonyms, Typographical Errors and Spelling Mistakes, 7. Aggregation, An insight into concepts, A brief introduction to Aggregation, Analysis process, Filtering Process of the Aggregations and Queries, Sorting Multivalue Loads, Expected Aggregation, Doc Values and Field Data, Aggregations Types, Using Metric Aggregations, Cardinality Aggregation, Bucketing Aggregations - Introduction to bucket aggregations, Filter and Filters Bucketing Aggregations - Defining bucket rules with filters, Nested Aggregations and aggregating nested objects, Document count approximations, Range aggregations, Creating histograms, 8. Boolean logic queries, Using Boolean Logic with Queries, Compound queries, Using named queries for development, Understanding the match query, , 9. Introduction to Data Modeling, Elastic Search versus RDBMS, Relationships handling, Nested objects, Scale Designing, 10. Geo-locations, Major Geo Points, Geo Hashes, Geo Aggregations, Geo Shapes, , 11. ElasticSearch Admin, Monitoring ElasticSearch, Production deployment set up, Taking a snapshot, Backing up, Restoring from a snapshot, Admin tools, Determining the number of shards you need, Using new Indices to scale, Hardware Selection guidelines, Using X-Pack for Monitoring, Handling Failover and Rolling Restarts, Setting up and using Amazon Elasticsearch Service, (Optional) Integrating Logstash with Amazon ES, , 12.Logstash and FileBeats (Optional), Logstash Introduction, Beats introduction, Installing and configuring Logstash, Using Kibana to visualize log data, , 13. Application logging (Optional), Setting up application logs, FileBeats or Java Logback, , 14.Working with Alerts (Optional), Alerting with Watcher, Set up Watcher, Setting up Alerts, 15. Introduction to Kibana, An overview of Kibana, Installation process of Kibana, Sample data loading process, Discovering the saved data, Visualization of the data, Working with the Dashboard,? , 16. Kibana (Optional), Kibana introduction, Using Kibana to discover, Using Kibana to visualize data introduction, Kibana and aggregations, Creating dashboards with Kibana, , 17. Kibana visualization Redux (Optional), Line chart visualization, Data table visualization, Area chart visualization, Using Markdown, Pie chart and bar chart visualization, Other Kibana visualizations, Kibana plugins - heatmap, tagcloud, Other Kibana plugins, , 18. Discovering the Data in Depth and Dashboard Analysis, Set-up of Time Filter, Searching of the saved data, Filtering by the Field, Viewing the document data, Viewing the document context, Viewing the field statistics, Data visualization, Dashboard analysis, Exploring the live data with the ELK Stack

Kronos (60+)?????? 1.Kronos WFM Introduction, What is HCM & WFM, What is Kronos Workforce timekeeper tool?, What does Kronos tool do and available modules in Kronos?, 2.Timekeeper processes and Application Walkthrough, Employee Tasks, Manager Tasks & Payroll manager Tasks, Basic navigation, Forgotpassword, Navigator View (Home workspace, Widgets& Widget parts), Gensis introduction, Workforce time keeper Genies & Employee genies, Search tools (Quick find & Hyper find current period), Using Online Help, Using Setup, 3.Navigating timecard, Timecard area, Timecard widget part areas, How to add/edit punches, How to add/edit pay codes, Different types Exceptions and reviewing/clearing exception, Unsaved data, Approving Overtime, Adding comments, Moving pay code amounts, Timecard visuals, How to transfer an employee to different department and work rule, Approving timecard, Approval process, Signoff process, Timecard audit process, Lock payroll, Historical corrections, Rule Analysis, 4.People Editor & Reports, People Basics, Different licenses, Creating or Modifying employees, Terminating Employees, Timekeeper reports, Report categories and Descriptions, Running and viewing reports, Scheduling reports, 5.Workforce Timekeeper scheduler, What is the basic scheduling and difference between Basic and advanced scheduling?, Scheduling benefits, Scheduling editor Widget and Actions Menu, Shifts & Adding shifts to an employee, Adhoc shifts, Shift templates, Schedule patterns, Pattern templates, What is Schedule Group, How to add schedule pattern at group level, 6.Organization setup & Pay policies, Overview, Labor level, Labor level entries, Labor level sets & Employee Group, Pay code definition, Combined pay code, Display order, 7.Pay policies, Rounding introduction, Different types of rounding rules, Punch rounding rules, Exceptions, Break rules, Bonus and Deductions, Schedule deviations, Overtimes, Zones, Combination rules, Pay code distribution, Work rules, Duration pay code, Holiday table, Holiday Zone rule, Holiday credit rule, Holiday profile, Employment terms, Fixed rules, Sign off restrictions, Punch interpretation, Processing order, Pay rules, 8.Accruals, accrual codes, Dates and Date patterns, Probation Periods, Grants, full Time Equivalents, Limits, Accrual Policies, Accrual Profile, Accrual Balance Cascades, Cascading Pay Codes, Cascade policies cascade profile, 9.Basic scheduler set up & Access profiles, Schedule periods, shift template, Pattern template, Schedule group, Login profile, FAP, GDAP, DAP, 10.Navigator set up Display preferences, Widget and Widget parts, Workspaces, Navigator, Navigator profiles, Custom data fields, Telephone fields, Workforce genie column sets, Workforce genie building blocks, Custom URLs, Custom URL profiles, Display profiles, 11.Common Setup, Comments, Hyper find queries, Hyper find profiles, Query manager, Worker type, Delegate profile ,?

?

Ai in Product Management (10+)?????????????? Introduction, Understanding AI product management, How to use AI in product world, Making AI work, How to get AI as product manager, ChatGPT vs Bard, AI prompts

Pragmatic Certification (10+)??????? Foundations, Focus, Design, Build

Dataplex (20+)??? Introduction, Build a data mesh , Enable Dataplex , Best practices ,? Create , Create a lake , Add a zone , Create a business glossary ,? Ingest , Ingest using templates , Ingest using Cloud Data Fusion ,? Control access , Use IAM , Secure your lake , Use VPC Service Controls with , Dataplex , Use Attribute Store ,? Ensure data quality , Auto data quality , Profile data , Data quality tasks ,? Manage , Manage a lake , Manage zones , Manage assets , Manage environments , Discover data , Manage metadata , Access metadata in Apache Spark ,? Process data , Process data using templates , Schedule custom Spark and SparkSQL , tasks , Set up alerts and notifications for , Dataplex tasks , Process data with Cloud Data Fusion ,? Monitor , Dataplex logs , Audit logs , Dataplex metrics ,? Explore your data , Use Data exploration workbench , Schedule scripts and notebooks , Detect anomalies in transaction data

Azure Fabric, Azure Synapse Analytics (50+)????????? What is Azure Synapse, Azure Synapse SQL architecture, Use serverless SQL pool, Create a dedicated SQL pool using Synapse Studio, , Create a workspace, Link a Power BI workspace, Read ADLS Gen2 into Pandas dataframe, Connect to Azure Data Explorer, , Database templates in Azure Synapse Analytics, Create a new Lake database leveraging database templates, Apache Spark, Apache Spark pool configurations, GPU-accelerated Apache Spark pools, Delta Lake, Optimize Apache Spark writes on Delta Lake, Apache Spark autoscale behavior, Intelligent Cache, ,? Create and set up a Synapse workspace,? Analyze using a dedicated SQL pool,? Analyze using Apache Spark,? Analyze using a serverless SQL pool,? Analyze data in a storage account,? Orchestrate with pipelines,? Visualize data with Power BI,? Monitor activities,? Explore the Knowledge center, , Azure Synapse Link for Azure Cosmos DB, Azure Synapse Link for SQL, Connect to Azure Synapse Link for Azure Cosmos DB, Connect to Azure Synapse Link for Azure SQL DB, Connect to Azure Synapse Link for SQL Server 2022, , Apache Spark in Azure Synapse Analytics, Create a serverless Apache Spark pool using Synapse Studio, , Pipeline and activities, Transform data, Load data to SQL pool, , Machine Learning in Azure Synapse, Create a new Azure Machine Learning linked service, Model scoring wizard for SQL pools

Informatica Axon (50+)?? Axon's Data Governance Methodology, The Evolution of Data Governance, Must Dos for Data Governance Success, Principles for an Axon Implementation, Key Axon Resources, Getting Started - object order definition, , Getting Started, User Permissions and effects, Manual creation of objects, Bulk upload of objects, Project Overview, , The Glossary, Glossary definition best practices, Manual creation of glossary items, Bulk upload creation of glossary items, , Systems, Datasets, Interfaces & Lineage, System and Data Lineage, Manual definition of systems and system interfaces, Manual linking of dataset attributes, Bulk update of existing attributes, Bulk upload for attribute lineage, Leveraging Enterprise Data Catalog Content in Axon, EDC Overview, Linking to EDC Resources, Linking Attributes to EDC Fields, Lineage Recommendations, Glossary and Data Domain Associations, Curate auto-onboarded objects, , Policies, Policy Overview, Manual creation of policies, Creating child/sub policies, Leveraging Secure@Source Dashboards in Axon, Integration Overview, System Privacy Dashboard, Policy Privacy Dashboard, Process, Process Overview, Manual creation of processes, Bulk upload of processes and process predecessors, Process components functionality, Process maps, Workflows and Change Requests, Custom and default workflows, Workflow creation, Change requests, Active workflows and workflow notifications, Mandatory Approval Process, Mandatory Approval Process Overview, Creating and editing objects when mandatory approval has been implemented, Data Quality, Data Quality Overview, Local and Standard Data Quality rules, Manual and bulk upload of local DQ rules and reports, Using Data Quality to update scores in Axon, Automating Data Quality Rules, Projects - Impact Assessment, Project connections, Relating projects and project dependencies, Assess project impact, Review DQ Dashboard

Power Apps (50+)???????????? PowerApps Overview, Types of PowerApps, PowerApps building blocks, Canvas App Overview, Canvas App building blocks, Canvas App Studio Overview, Create an app from template, Canvas App Layouts, Create a Blank Canvas App, Types of Screens in Canvas App, Canvas App Screen Properties, Renaming & Reorder Screen, Introduction to different type of controls, Adding & Selecting a control, Renaming the unique name of control, Deleting a control, Reorder, Move & Resize a Controls, Changing the label text or a button, Configuring a control from the toolbar, Configuring a control from the Properties tab, Configuring a control in the formula bar, Properties of different Controls, Adding and configuring controls in canvas, Navigate Function & Its Parameters, Notify Function & Its Parameters, What is PowerApps Connectors?, Different Types of Connectors in PowerApps, Use MS Excel as a data source, Create SharePoint Site, Create SharePoint List, Use SharePoint as a data source in PowerApps, What is Gallery, Data table & Form, Different Between Gallery & Data table, Different Type of Galleries in canvas, Customizing the forms and gallery controls, What is Search Function & its parameters, Implementation of Search function, What is Sort Function & its parameters, Customizing SharePoint form using PowerApps, Saving and publishing the list form back to your SharePoint, Viewing list form in SharePoint, If – Else Condition & Its Implementation, Nested If – Else Conditions Its Implementation, Switch Conditions its Implementation, Examples:, Modifications to data depending on user input, Hide and show controls based on user inputs, What is PowerApps Variables, What are Diff types of variable in PowerApps, Scope of PowerApps Variables, Application of PowerApps Variables, Creating Dynamic Sort, Creating Custom form & using Patch function for Submitting, Data, Using UpdateIf function to update a record, Filter, LookUp Function in PowerApps, Difference Between Filter, LookUp & Search, Cascading Dropdowns, What is Collection, How to create a collection, Diff between Collect & Clear Collect, Application of Collection, What are PowerApps Components, How to create a Component, Application of Components, How to Create Custom Alerts & Popups, What is Versioning in PowerApps, How to Restore a version, Overview of Microsoft Dataverse, Diff Type of Table is Dataverse, Create a Table in Dataverse, Views & Forms in Dataverse, Relationships in Dataverse, Charts & Dashboards, Overview of Model Driven PowerApps, What is site map, how to map Dataverse table, Create views in model driven app, Create forms in model driven app, Business Roles in model driven app, Create charts in model driven app, Create Dashboard in model driven app, Overview of Power Automate, Types of Power Automate flows, Power Automate Connectors, What are triggers?, What are action?, Sending email notifications, Conditions in Power Automate, Approval process in Power Automate

Informatica EDC (50+)???? Enterprise Data Catalog Overview, Overview, Benefits, Lifecycle and Architecture, EDC Key Features, User Classification, Catalog User Interface - Search and View Assets, Search Capabilities, Search Options, Semantic Search, Search Filters, Configuring Search Filters, View Assets, Data Lineage and Impact, Lineage and Impact, Navigation, Lineage and Impact View, Controls to customize the diagram view, View Child assets, View Intermediate assets, View connected business terms, Transformation Logic for assets, Transformation Logic view tasks, Asset lineage and impact summary view, , Relationship Discovery, Asset relationship overview, Type of relationships, Navigation, Relationship View, Customizing the view, Details of related assets

Python (100+)??? Introduction to Python, Strings, Lists and Tuples, Dictionaries and Sets, Conditional Execution & Loops, Comprehensions, Functions, Modules, Scopes and Namespaces, File Handling, Object Oriented Programming, Iterator, Generator, Decorators, Lambda Expressions, Regular Expression, Writing Library, Building Framework, Python C Extensions (C code in Python), Closure, Function Factory, Method Chaining, Exception Handling, Context Manager, Metaclasses, Introspection, Multithreading, Multiprocessing, Python In Java (Java Dynamic Language Support), Python In C# (C# Dynamic Language Support)

Apache Echarts (20+)????? Basics & concepts of Apache ECharts, Common Charts, Cross Platform - Server Side Rendering, Dynamic Data, Label - Rich Text, Animation - Data Transition, Interaction - Drag & Intelligent Pointer Snapping, Best Practices - Canvas vs. SVG & Aria, Examples, Options, API, Globe component

Presto SQL (20+)?????????????? Use Cases, Presto Concepts, Deploying Presto, Command Line Interface, JDBC Driver, Benchmark Driver, Web Connector for Tableau, Executing Presto on Spark, Deploy Presto From a Docker Image, Deploy Presto on a Mac using Homebrew, Coordinator Kerberos Authentication, CLI Kerberos Authentication, LDAP Authentication, Password File Authentication, Java Keystores and Truststores, Built-in System Access Control, Secure Internal Communication, Authorization, Web Interface, Tuning Presto, Properties Reference, Spill to Disk, Exchange Materialization, Resource Groups, Session Property Managers, Function Namespace Managers, Distributed sort, Presto Verifier, Alluxio SDK Cache, Alluxio Cache Service, Table Statistics, Cost in EXPLAIN, Cost based optimizations

Grafana (20+)???? Introduction to Grafana, Grafana Enterprise, Grafana Cloud Fundamentals, Exemplars, Intro to time series, Time series dimensions, Histograms and heatmaps, Glossary

Oracle SCM (10+)???????????? Introduction to Oracle Cloud, SAAS, PAAS and IAAS Overview, Oracle SCM Cloud Capabilities: Overview, Navigation Basics, Resources, Implementation Planning, Roles and Responsibilities, Offerings, Implementation Considerations, SCM Simplified Setup: Overview, Automated Setup of SCM Common Components, Simplified Setup: Time Savings, Best Practices, Walkthrough on Enterprise Structure, Differentiate E-Business Suite and Cloud Org Structure, Business Unit Overview, Business Unit Implementation, Features of Product Hub, Key benefits of using Product Hub, Product Hub functionality architecture, Basics of navigation in Fusion Applications interface, Functional overview of Functional Setup Manager, Roles and responsibilities, Implementing a Product Hub offering using Functional Setup Manager, Creating item organizations, Item class concepts, Creating item classes, Item terminologies, Item setup tasks, Creating items, Implementing item relationships, Item attributes, Defining and assigning EFF attribute groups, Overview of catalogs and categories, Creating and publishing catalogs, Item Mass update functionality, Item class updated through excel, FBDI based Item Conv, Overview of structures, Creating a product structure, Overview of packs, Creating a pack, Overview of new item requests, Configuring new item requests, Creating and managing new item requests, Change Order Approval Workflows, Overview of item rules concepts, Creating item rules, How Inventory Fits into Oracle’s SCM Cloud Offering, Oracle’s SCM Cloud Progress, Oracle Inventory Management Cloud Capabilities: Overview, Inventory Transaction Uses, Inventory Transaction Sources and Types, System- and User-defined Inventory Transaction Types, Inventory Transaction Setup Tasks, Inventory Transaction Profile Options, Lot Control: Overview, Lot Control Organization Parameters, Lot Control Item Attributes, Lot Management, Serial Number Control, Lot and Serial Number Control Profile Options, On-Hand Quantity and Availability, Manage Item Quantities Page,? Reservations, Inventory Transactions: Overview, Miscellaneous Transactions, Subinventory Transfers, Movement Requests – Approval check, Direct and In-Transit Interorganization Transfers, Transfer Orders, Receiving: Overview, Receipt Routing, Receipt Processing Methods, Expected Receipts, Receipt Structure, Returns and Corrections, Additional Receiving Features, Receiving Parameters, Explain Min-Max Planning, Min-Max Planning Report Parameters: Points to Consider, Min-Max Planning Replenishment Quantities: How They Are Calculated, Cycle Counting: Explained, ABC Analysis, Create and Manage Cycle Counts, Generate Count Schedules, Generate Count Sequences, Analyze Materials Management and Logistics Performance, Monitor Warehouse Operations Dashboard, Overview of Cost Management, Cost Planning, Creation of Cost Organization, Creation of Cost books and Valuation Structure, Manage Cost Elements and Cost Profile, Demo on the Costing method, Explain Procurement architecture and components, Explain simplified Procure to Pay flow, Explain Procurement applications integration, Identify common procurement tasks, Configure required common procurement tasks, Identify common purchasing tasks, Configure the required common purchasing tasks, Explain the purpose and use of Supplier Model within Fusion Procurement, List the benefits provided to suppliers by Fusion Supplier Portal, Explain the methods available for registering suppliers, Identify the job roles available to the supplier self-service administrator to provision, Implement Supplier Model and Supplier Portal, Understand the approval management workflow, Set up approval management, Understand approval policy configuration, Describe steps for defining approval groups, Manage, edit, and deploy approval rules, Create approval rule conditions, Understand the components and use of purchase orders, Create purchase orders, Maintain purchase orders, Understand setup options related to purchasing orders, Identify Self Service Procurement setup tasks and profile options, Manage value sets and descriptive flexfields for information templates, Create, manage, and secure catalogs, Understand Supplier Content Map Sets, Create local and informational catalogs (How to create the attributes), Create and manage public shopping lists, Create and manage smart forms, Understand content zones, Understand the basics of requisition management, Manage requisitions,? Create and modify approved orders, Charge Account, Variance Account, Accrual Accounts, Course Introduction, Oracle Order-to-Cash Cloud Overview, Demo with a Standard Order – O2C Cycle, Demo with Return Order, Pricing Strategies, Price Lists, Discount Lists, Shipping Charge Lists, Global Order Promising, Order Promising Rules, Key Order Promising Functionality, Data Collection and Global Order Promising Administration, Defining Orchestration, Managing Orchestration Statuses, Change Management and Process Assignment, Orchestration Process Planning, Deployment, and Jeopardy, Defining Processing Constraints and Hold Codes, Introduction to Shipping, Shipping – Basic Setup, Pick Wave Management, Pick Confirmation, Ship Confirm, Explain Reporting and Business Intelligence for SCM, Configure OTBI , RTF Templates for Trading documents, Dashboard metrics

EDMC DCAM (50+)?????????? Data Management Industry and DCAM Overview, DCAM v2 Framework, 1.0 Data Management Strategy & Business Case: 2.0 Data Management Program & Funding Model: 3.0 Business & Data Architecture: 4.0 Data & Technology Architecture: 5.0 Data Quality Management: 6.0 Data Governance: 7.0 Data Control Environment: 8.0 Analytics, Conducting a DCAM Assessment, DCAM Global Benchmark Review

Terraform (50+) Infrastructure as Code, Infrastructure as Code in a Private or Public Cloud, Infrastructure as code video, Infrastructure as Code in a Private or Public Cloud, Multi-Cloud Deployment, Purpose of Terraform State, Providers, Terraform Settings, Providers, Provisioners are a Last Resort, Command: fmt, Command: taint, Command: import, Workspaces, State Command, Debugging Terraform, Finding and Using , Accessing Module Output Values, Input Variables, Calling a Child Module, Finding and Using , Module Versions, The Core Terraform Workflow, Command: init, Command: validate, Command: plan, Command: apply, Command: destroy, Backends, Local, State Locking, Backend Types, Backend Types, Command: refresh, Backend Configuration, Sensitive Data in State, Input Variables, Output Values, Vault Provider for Terraform, Complex Types, Resources, Data Sources, Resource Addressing, References to Named Values, Built-in Functions, Dynamic Blocks, Resource Graph, Sentinel, Module Registry, Workspaces, CLI Workspaces, Enterprise/Cloud Workspaces, Terraform Cloud, The UI- and VCS-driven Run Workflow

Quantum Computing (50+)?????????? Introduction to quantum computing, Linear operators and spectral decomposition, Operator functions and tensor products, Postulates of quantum mechanics, Computation, quantum and classical, Deutsch-Jozsa, Fourier transform and phase estimation, Simon's algorithm, factorization, Grover search, Query complexity, What is Quantum?, Prerequisites, Setting Up Your Environment, Python and Jupyter Notebooks, Quantum States and Qubits, Introduction, The Atoms of Computation, Representing Qubit States, Single Qubit Gates, The Case for Quantum, Multiple Qubits and Entanglement, Introduction, Multiple Qubits and Entangled States, Phase Kickback, More Circuit Identities, Proving Universality, Classical Computation on a Quantum Computer, Quantum Protocols and Quantum Algorithms, Defining Quantum Circuits, Deutsch-Jozsa Algorithm, Bernstein-Vazirani Algorithm, Simon's Algorithm, Quantum Fourier Transform, Quantum Phase Estimation, Shor's Algorithm, Grover's Algorithm, Quantum Counting, Quantum Walk Search Algorithm, Quantum Teleportation, Superdense Coding, Quantum Key Distribution, Quantum Algorithms for Applications, Applied Quantum Algorithms, Solving Linear Systems of Equations using HHL, Simulating Molecules using VQE, Solving combinatorial optimization problems using QAOA, Solving Satisfiability Problems using Grover's Algorithm, Hybrid quantum-classical Neural Networks with PyTorch and Qiskit, Implementations of Recent Quantum Algorithms, Variational Quantum Linear Solver, Quantum Image Processing - FRQI and NEQR Image Representations, Quantum Edge Detection - QHED Algorithm on Small and Large Images, Solving the Travelling Salesman Problem using Phase Estimation, Investigating Quantum Hardware Using Quantum Circuits, Introduction to Quantum Error Correction using Repetition Codes, Measurement Error Mitigation, Randomized Benchmarking, Measuring Quantum Volume, The Density Matrix & Mixed States, Investigating Quantum Hardware Using Microwave Pulses, Calibrating Qubits with Qiskit Pulse, Accessing Higher Energy States, Introduction to Transmon Physics, Circuit Quantum Electrodynamics, Exploring the Jaynes-Cummings Hamiltonian with Qiskit Pulse, Measuring the Qubit ac-Stark Shift, Hamiltonian Tomography

Latest Technologies????????? 1: Data Fabric

2: Cybersecurity Mesh

3: Privacy-Enhancing Computation

4: Cloud-Native Platforms

5: Composable Applications

6: Decision Intelligence

7: Hyper-automation

8: AI Engineering

9: Distributed Enterprises

10: Total Experience

11: Autonomic Systems

12: Generative AI

TIBCO DataSynapse GridServer (50+)??????? Overview , Know the Basics , Meet GridServer System Requirements , Optimize GridServer Manager Architecture, About GridServer Manager, Redundancy , Grid Size, Component OS and Version Interoperability , Other Considerations , Configure Your Network , Name Service , Director-Broker Communication , Manager-Engine and Driver-Manager Communication , Using NAT, Using a VPN, Resource Synchronization , Direct Data Transfer , SSL, Install the GridServer Components , GridServer Manager , GridServer Engine , GridServer Driver , SpeedLink, Database , Installing DataSynapse GridServer, 1) Copy Files Before Installation , 2) Configure Server Settings , 3) Start the Manager , 4) Initialize Your Manager , Configuration Options , Changing the HTTP Ports , A Sample Unix code, Installing Windows Engines , Command Line Unattended Install , Network Install , Engine JRE Synchronization, Engine Permissions , Configuring Permissions for Processor Utilization Mode , Configuring Run-As for Windows Engines , Engine Configuration and Management , Installing Unix Engines , Running the Engine , Engine JRE Synchronization, Configuring Run-As for Unix Engines , Engine Configuration and Management , Submitting a Service Test , Monitoring a Service Test , Troubleshooting, Uninstalling GridServer on Windows Systems , Uninstalling an Engine , Manual Uninstall , Uninstalling a Manager , Uninstalling GridServer on Unix Systems , Requirements Changes , Operating Systems , Java , Compilers , Reporting Databases , Migrating to Grid Libraries , Prior to Upgrade , After Stopping the Manager , During Installation, After Installation , Default Engine Configuration Changes , Default Manager Configuration Changes, Incompatibilities Due to API changes , Mixed-Version Deployments , Mixed-Version Driver Compatibility , Rolling Upgrades , Prerequisite Actions , Upgrading a Grid , Installing Hotfixes, About SSL, Communication Overview , SSL On Large Grids , Certificate Overview , Key and Certificate Location and Generation , Using CA-Signed Certificates for HTTPS , Using a Self-Signed Certificate for HTTPS , Generating Manager Keypairs , Creating a Keystore for Manager Communication , Manager HTTPS Configuration, Enabling HTTPS , Driver HTTPS , Engines and Engine Daemon HTTPS, Brokers and Director SSL , Reporting Database Requirements, Configuring the Reporting Database, Third-Party Database Known Issues, Microsoft SQL Server , Oracle , GridServer Programming Options , Services , PDriver , Resource Deployment , Logging and Debugging, Logging Overview, Viewing Engine Logs , Writing to Logs , Debugging Engines , Creating a Native Stack Trace in Linux , GridServer SDK Installation, The Parametric Job Driver (PDriver) , The COM Driver, The R Driver, Driver Configuration , Configuring Multi-Interfaced Drivers , Driver Cleaner Configuration , Multiple Driver Instances , Overview, Steps in Using a Service, Service Method Compliance , Registering a Service Type , Container Binding , Language Interoperability , Strings and Byte Arrays , Object Conversion from Strings and Byte Arrays, XML Serialization for Java, , Interoperable Types for XML Serialization , R Interoperability , Maintaining State , Initialization , Cancellation , Destruction , Service Instance Caching , Invocation Variables , Services , Proxy Generation , Service Options , Service Invocation Context , Setting Task Description , Shared Services , Creating a Shared Service , Limitations to Shared Services , Ending a Shared Service , Shared Services and Failover, Broker Spanning Services , Enabling Broker Spanning on a Driver , Admin API Usage , Scheduling and Task Expiration , Administration, Broker Spanning Service Limitations , Service Groups , Data References , C++ Data References , Service Collection , Collect After Submit , Deferred Collection (Collect Later) , No Collection (Collect Never) , Engine Pinning, Running a Driver from an Engine Service , Overview , Installing PDriver , Resource Deployment , PDriver Commands , The pdriver Command , The bsub Command , The bcoll Command , The bstatus Command , The bcancel Command , About PDS Scripts , PDS Basics, PDS Structure, The Depends Statement, The Include Statement , Lifecycle Blocks , The Options Block , The Discriminator Block, The Schedule Block , Variables, Types and Expressions , Basics , Scoping , Variable Substitution , Expressions , Arrays, Built-in Variables , Statements , Built-in Commands, The If Statement , The For and Foreach Statement , Shell Directives in Heterogeneous Environments , Example , Overview, Grid Library Format, Variable Substitution , Versioning , Dependencies , Conflicts , Grid Library Loading , State Preservation , Task Reservation , Environment Variables and System Properties , Using Grid Libraries from a Service , Super Grid Libraries , C++ Bridges , JREs , R Grid Libraries, Building TERR Runtime Grid Libraries , Windows Application Deployment , Grid Library Example , Overview, General Capabilities , API , Modes, Cache Configuration and Access , Data Storage, Attributes, Consistency/Synchronization , Cache Loaders , Cache Loader Write-through and Bulk Operations, Notification , Disk/Memory Caching , Cache Region Scope , Data Conversion Matrix , Using The GridCache API , Fault Tolerance and GridCache , Data Movement , Principles of Data Movement , Data Movement Mechanisms , Data Movement Examples , Service or Task Duration , Engine Interruption and Smoothing , Using the Admin API over SOAP, Using Server Hooks, Using JMX , Conditions , Discriminator Conditions , Setting Discriminators in the Administration Tool , Setting Discriminators Programmatically , PDriver Discriminators , Affinity Conditions , Setting Affinity Conditions Programmatically , Setting Affinity Conditions in the Administration Tool , Task Affinity, Custom Discriminator and Affinity Conditions , Dependency Conditions , Creating Dependencies , Administering Task Dependencies, Queue Jump Conditions , Descriptor Conditions , EXTRA Conditions , Using the EXTRA Condition REST Interface , Setting EXTRA Conditions , Condition Sets, AND set , OR Set , Service Set , Engine Properties , Intrinsic Engine Properties, Custom Engine Properties, Engine Session Properties , GPU Services Engine Properties , MIC Processor Engine Properties , NUMA Engine Properties and Configuration , Manager Hooks, Engine Hooks , Engine Hook Example,

Amazon Web Services (50+)???????? Introduction to AWS, Security Management in AWS, Amazon EC2, Object Storage Options, Load Balancing, Auto-Scaling, and Route 53, Database Services and Analytics, Networking and Monitoring Services, Applications Services and AWS Lambda, Configuration Management and Automation, AWS Architectural Designs – I, AWS Architectural Designs – II (Self-Paced), Migration to AWS (Self-Paced), AWS Solution Architect Associate Exam Questionnaires (Self-Paced), DevOps on Cloud (Additional Content)

EC2, ECS, EKS, ECR IAM (RBAC), Single Sign On, Multi-Factor Authentication Lambda, Fargate, Elastic Beanstalk VPC, Security Groups, NAT, SubNets, ENI Cost Efficiency Regions and Availability Zones Route 53, CloudFront, API Gateway ELB, ALB, NLB, Auto-Scaling Groups CI/CD - CodeCommit, Codebuild, CodePipeline, CodeDeploy RDS, DynamoDB, Aurora Redshift, S3 CloudFormation SQS, SNS, SES CloudWatch, EventBridge Secrets Manager, Certificate Manager, Key Management Service

Google Cloud Platform (50+)??????? Introduction to Cloud Computing Overview of Google Cloud Platform Useful Links and Documentation Google Cloud Platform Resource Overview : Compute Google Cloud Platform Resource Overview : Networking Google Cloud Platform Resource Overview : Storage Google Cloud Platform Resource Overview : Big Data and Artificial Intelligence Google Cloud Platform Resource Overview: Tools and Operations, Managing Google Cloud Platform with Console Managing Google Cloud Platform with Command Line, Google Cloud SDK Installation Understand gcloud, gsutil, and other Command-Line Tools Google Cloud Platform Projects and Billings Understand GCP Projects Project User Roles, Global Footprint: Regions, Zones, and Edge Locations Virtual Private Cloud gustily Load Balancing Virtual Private Network, Overview of IAM gustily Service Account Identity Aware Proxy (IAP) Cloud KMS, Compute Engine and Virtual Machines Machine types in Compute Engines compute options Disk options Advanced options in compute engine, Data Service Options GCP Storage Cloud SQL Cloud Spanner Cloud Datastore and Cloud Firestore Cloud Bigtable, Monolithic and Microservice Architecture Containers Docker Kubernetes Google Kubernetes Engine Helm Package Manager, Compute Service and App Engine Cloud Function Cloud Run Cloud VMware Engine, Configuration Template Deployment Manager, Big Data and AI Services, Google Chronicle

Data Protection and Privacy (50+)???????????? Data Privacy, Data Protection in Insurance Firms (Global), Data Protection Act (Russia), Data Protection Act 2018 (UK), California Privacy Act (CCPA) (US), Confidentiality (US), Data Privacy and Security (US), Data Protection (Canada), GLBA Privacy (US)? , PCI-DSS Compliance (US), Data Privacy and Protection (Australia)????? , Data Privacy (Asia-Pacific)??????????????? , Data Protection Act (Hong Kong), Data Privacy Ordinance (Hong Kong), Data Privacy Act (Taiwan), Personal Data Protection Act (Malaysia), Personal Data Protection Act (Singapore), Personal Information Protection Act (South Korea), Protecting Personal Information (Japan), Data Privacy (Middle East)

Streaming Process (50+) Processing frameworks for real time analytics, and Analytics techniques for real time streaming data Real Time Streaming Architecture; Service Configuration and Coordination; Data Flow Management, Storing and Processing Streaming Data; Visualization Techniques for Real Time Streaming Data; Aggregation (Timed Counting, Multi Resolution Time Series Aggregation); Statistical Approximation; Approximating with sketches, AWS Kinesis, Data Streams, Data Firehose, Data Analytics, Azure IoT / Streaming Analytics Service, Channels, Pipelines, Data stores & data sets, Analytics & visualization, Streaming SQL for Apache Kafka, KSQL?? , Registers and Hash Functions, The Bloom Filter, Spark + Kafka integration? , Apache Spark Streaming, Apache Spark Streaming, Apache Flink, Apache Samza, Apache Kafka Streaming, Apache Storm, MongoDB, Cassandra, Apache ZooKeeper, Apache Kafka, Apache ZooKeeper , Lambda Architecture, Kappa Architecture,

Zscalar? (DevSecOps) (50+)?????????? Introduction, Overview of modern application development, Overview of containerization, Overview of information security, Overview of cloud computing and infrastructure as code, Overview of CI/CD, Secure SDLC and CI/CD pipeline, SCA in CI/CD pipeline, SAST in CI/CD pipeline, DAST in CI/CD pipeline, Infrastructure as code and its security, Compliance as code, Vulnerability management with custom tools, DevOps Security Automation, Cloud Infrastructure Security, Cloud Security Operations, Cloud Security as a Service, Compliance as Code, Introduction to DevOps and DevSecOps, Introduction to the Tools of the trade, Secure SDLC and CI/CD pipeline, Software Component Analysis (SCA), Static Analysis (SAST) in CI/CD pipeline., Dynamic Analysis (DAST) in CI/CD pipeline., Infrastructure as Code and its security., Compliance as code, Vulnerability Management with custom tools

Splunk?? What is splunk; Deployment models; How splunk stores data; Splunk Apps; Installing Splunk; Getting Data in;?? - Basic setting for an input;?? - Forwaders, ;?? - Basic searching feilds and field extractions

Dynatrace??????????? Dynatrace Introduction.; Dynatrace and its Competitors; Dynatrace Components and Solution Architecture; Dynatrace – Application Monitoring; Web Application Monitoring; Agentless Monitoring; Application Creation Using API; Browser Extension; Session Segmentation; Dashboards; How to create dashboard; Share Dashboard; Dynatrace Reports; Service Quality Reports; Availability Report

Chef?????? Introduction to chef; Configuration Management and Automation; Setting up Chef, Chef workstation, Chef clients; Chef Architecture, Resources; Chef DSL, Chef Recipe,"; " Chef Cook books,; Chef Runlist,; Check include recipe,; Cookbook dependencies

Apache Pulsar (50+)??????? Event Streams and Event Brokers, Publish/Subscribe, Queues, Failure Modes, Push Versus Poll, The Need for Pulsar, Unification, Modularity, Performance,? Pulsar, Origins of Pulsar, Pulsar Design Principles, Multitenancy, Geo-Replication, Performance, Modularity, Pulsar Ecosystem, Pulsar Functions, Pulsar IO, Pulsar SQL, Pulsar Success Stories, Yahoo! JAPAN, Splunk, Iterable,? Pulsar Internals, Brokers, Message Cache, BookKeeper and ZooKeeper Communication, Schema Validation, Inter-Broker Communication, Pulsar Functions and Pulsar IO, Apache BookKeeper, Write-Ahead Logging, Message Storing, Object/Blob Storage, Pravega, Majordodo, Apache ZooKeeper, Naming Service, Configuration Management, Leader Election, Notification System, Pulsar Proxy, Subscriptions, Exclusive, Shared, Key_Shared, Failover, Acknowledgments, Individual Ack, Cumulative Ack, Schemas, Consumer Schema Management, Consumption Modes, Batching, Chunking, Advanced Configuration, Delayed Messages, Retention Policy, Backlog Quota, Configuring a Consumer, Replay, Dead Letter Topics, Retry Letter Topics,? Producers, Synchronous Producers, Asynchronous Producers, Producer Routing, Round-Robin Routing, Single Partition Routing, Custom Partition Routing, Producer Configuration, topicName, producerName, sendTimeoutMs, blockIfQueueFull, maxPendingMessages, maxPendingMessagesAcrossPartitions, messageRoutingMode, hashingScheme, cryptoFailureAction, batchingMaxPublishDelayMicros, batchingMaxMessages, batchingEnabled, compressionType, Schema on Write, Using the Schema Registry, Nonpersistent Topics, Use Cases, Using Nonpersistent Topics, Transactions,? Pulsar IO, Pulsar IO Architecture, Runtime, Performance Considerations, Use Cases, Simple Event Processing Pipelines, Change Data Capture, Considerations, Message Serialization, Pipeline Stability, Failure Handling, Elasticsearch, Netty, Writing Your Connector, TimescaleDB,? Pulsar Functions, Stream Processing, Pulsar Functions Architecture, Runtime, Isolation, Isolation with Kubernetes Function Deployments, Use Cases, Creating Pulsar Functions, Simple Event Processing, Topic Hygiene, Topic Accounting,? Tiered Storage, Storing Data in the Cloud, Object Storage, Use Cases, Replication, CQRS, Disaster Recovery, Offloading Data, Pulsar Offloaders, Retrieving Offloaded Data, Interacting with Object Store Data, Repopulating Topics, Utilizing Pulsar Client,? Pulsar SQL, Streams as Tables, SQL-on-Anything Engines, Apache Flink: An Alternative Perspective, Presto/Trino, How Pulsar SQL Works, Configuring Pulsar SQL, Performance Considerations,? Deploying Pulsar, Docker, Bare Metal, Minimum Requirements, Getting Started, Deploying ZooKeeper, Starting BookKeeper, Starting Pulsar, Public Cloud Providers, AWS, Azure, Google Cloud Platform, Kubernetes,? Operating Pulsar, Apache BookKeeper Metrics, Server Metrics, Journal Metrics, Storage Metrics, Apache ZooKeeper Metrics, Server Metrics, Request Metrics, Topic Metrics, Consumer Metrics, Pulsar Transaction Metrics, Pulsar Function Metrics, Advanced Operating Techniques, Interceptors and Tracing, Pulsar SQL Metrics, Metrics Forwarding, Dashboards,

Apache Flink (50+)?????????? Fraud Detection with the DataStream API, Real Time Reporting with the Table API, Flink Operations Playground, Intro to the DataStream API, Data Pipelines & ETL, Streaming Analytics, Event-driven Applications, Fault Tolerance, Stateful Stream Processing, Timely Stream Processing, Flink Architecture, Glossary, Application Development, Project Configuration, DataStream API, Table API & SQL, Python API, DataSet API (Legacy), Event Processing (CEP), State Processor API, Connectors, DataSet Connectors, DataStream Connectors, Table API Connectors, Deployment, Resource Providers, Configuration, Memory Configuration, Command-Line Interface, Elastic Scaling, Fine-Grained Resource Management, Speculative Execution, File Systems, High Availability, Metric Reporters, Security, REPLs, Advanced, Operations, State & Fault Tolerance, Metrics, REST API, Batch, Debugging, Monitoring, Upgrading Applications and Flink Versions, Production Readiness Checklist, Importing Flink into an IDE, Building Flink from Source, Flink Development, Jobs and Scheduling, Task Lifecycle, File Systems

Streamsets (50+)????????????? Installation, Configuration, Upgrade, Pipeline Concepts and Design, Pipeline Configuration, Data Formats, Origins, Processors, Destinations, Executors, Dataflow Triggers, Solutions, Multithreaded Pipelines, Microservice Pipelines, Orchestration Pipelines, Data Preview, Rules and Alerts, Tutorial, Tutorial Overview, Before You Begin, Basic Tutorial, Extended Tutorial, , Troubleshooting, Error Codes, Glossary, Data Formats by Stage, Expression Language, Regular Expressions, Grok Patterns

TIBCO Business Works (50+)???????? Installing BusinessWorksContainer Edition for the First Time, TIBCO Cloud Integration: DevOps Overview and Highlights, Open Tracing (Jaeger) on TIBCO Cloud Integration, Enabling Service Discovery on TIBCO Cloud Integration with Amazon EKS (Kubernetes), Basic Unit Testing on TIBCO Cloud Integration, Liveness and Readiness Probes on TIBCO Cloud Integration with Amazon EKS (Kubernetes), Deploy Your Newly Created Application on to Your ECS Cluster, Setting Up Your Development Environment, Using a Cloud Formation Template to Set Up an Amazon ECS Cluster, TIBCO Cloud integration with AWS Services, AWS and TIBCO Simplify the Building and Deploying of Cloud-native Applications, TIBCO Hybrid Integration Platform Demo with SAP & SAP Hana, Migrating from BusinessWorks 5 to a BusinessWorks 6-based Hybrid Integration Platform, TIBCO BusinessWorksContainer Edition, ConfigMaps on K8s (Amazon EKS) with BusinessWorks Container Edition, BusinessWorks Container Edition Application Deployed on Amazon EKS, BusinessWorksContainer Edition application on AWS ECS + Fargate, Deploying a TIBCO BusinessWorksContainer Edition Application on to Microsoft Azure, BusinessWorksContainer Edition - Build Once, Deploy Anywhere Example on Openshift, Deploying a TIBCO BusinessWorksContainer Edition Application on to Minishift/Openshift, Integrating Your BusinessWorksContainer Edition Application with Several AWS Services, Launching a Standalone BusinessWorksContainer Edition EC2 Instance, Sample BusinessworksContainer Edition Application Deployment on Standalone EC2 Instance, How to Subscribe to BusinessWorksContainer Edition on the AWS Marketplace, Using a Cloud Formation Template to Extend Your BusinessWorksContainer Edition Image, Develop a BusinessWorksContainer Edition Application with the Salesforce Plugin, Deploying a Simple BusinessWorksContainer Edition Service to PCF, Deploying a Simple BusinessWorksContainer Edition Service to Docker, Deploying a Simple BusinessWorksContainer Edition service with Maven on to Kubernetes, Deploying a Simple BusinessWorksContainer Edition Service to Kubernetes, Installing Your BusinessWorksContainer Edition Buildpack on the Pivotal Network, Creating Your Base BusinessWorksContainer Edition Image for Docker, Deploying a simple BusinessWorksContainer Edition service with Maven on to PCF, Deploying a Simple BusinessWorksContainer Edition Service with Maven on to Docker, BusinessWorksContainer Edition: CI/CD Pipeline using Maven & Jenkins, BusinessWorksContainer Edition: Service Registry and Discovery, BusinessWorksContainer Edition: Using Configuration Management Tooling, BusinessWorksContainer Edition: Getting Started in a Cloud Foundry Environment, BusinessWorksContainer Edition: Getting Started in a Docker Environment, How to Integrate SAP with Salesforce.com With BusinessWorks, How to Integrate Marketo, Salesforce and Your Favorite Database Application, Installing the ActiveMatrix BusinessWorksPlug-in Development Kit (PDK), Installing Plug-ins from BusinessWorks Eclipse Plug-In Update Site, How to Connect BusinessWorks to NetSuite, TIBCO ActiveMatrix BusinessWorks Plugin for NetSuite, Building a BW6 Conversation Process, Building a BW6 Sample Application: Invoking Subprocesses, At Typical BW6 Application, BusinessWorks 6.x - Working with Samples, SOAP Service Demostration using BusinessWorks 6, Creating a Simple “Hello World” Service in ActiveMatrix BusinessWorks, Using Gestures to Build BusinessWorks Activitities, How to Modify Logging Level in BW5 vs in BW6, How to Start Debugging in BW6 vs. BW5, Creating a JDBC Connector using Business Works 6, How to Install BusinessWorks 6.x, Developing REST APIs from Java and SOAP Services, BusinessWorks Tutorial to Build a FilePoller applicaton, RESTful Web API Design Broadband, Using Java Classes in ActiveMatrix BusinessWorks6, Security with TIBCO Cloud Integration - Integrate/TIBCO BusinessWorks in a Cloud-Native environment, Monitoring Your hybrid TIBCO Cloud Integration - Integrate/TIBCO BusinessWorks deployments, Collaborative Development Practices with TIBCO Cloud Integration - Integrate / TIBCO BusinessWorks

Matillion (50+)?? Matillion Architecture, Matillion UI Access & Default Login, Matillion UI Detailing, Matillion Orchestration, Connector Authentication, Flow Components, Messaging & Scripting, Matillion TransformationS, Matillion Components, Matillion Scheduing Jobs, Data Lineage, Matillion Features, Matillion Migration, Matillion Environment & Administration

Data Warehouse (50+)??? Introduction to Data Warehousing; Introduction to Dimensional Modelling; Architectural Components of a Data Warehouse; Extraction; Transformation & Loading; Advanced Dimensional Modelling; Online Analytical Processing (OLAP) & Multidimensional Databases (MDDB); Query Performance Enhancing Techniques; Metadata, Support for Data Warehousing in RDBMS/SQL; Real-time Data Warehousing; Current Trends in Data Warehousing

Artificial Intelligence (50+)??????????? Intelligent Agents; Search Techniques; Adversarial Search; Logical Agents; CSP; Inference on FOL; Classical Planning; Knowledge Representation (Logics; Probabilistic); Exact and Approximate Inference; Reasoning over time Introduction to Learning

Natural Language Processing (50+)??????????? Language modelling with N-gram; Spelling correction; Neural networks and neural language models; Parts-of-Speech tagging; Syntactic parsing; Language semantics; Computational semantics

Information Retrieval (50+)????????? Basic IR concepts; Vector Space model; Text mining; Web search; Cross lingual retrieval; Multimedia IR; Recommender systems Structure and organization of various components of an IR system Information representation models, term scoring mechanisms, etc. in the complete search system Architecture of search engines, crawlers and the web search Cross lingual retrieval and multimedia information retrieval, Structure and organization of various components of an IR system Information representation models, term scoring mechanisms, etc. in the complete search system Architecture of search engines, crawlers and the web search Cross lingual retrieval and multimedia information retrieval

Data Protection and Privacy (50+)???????????? OneTrust, Big Id, Wirewheel, Microsoft Purview Risk Governance and Compliance, Privacy-Enhancing Computation Privacy by Design and Default, Privacy Engineering, Privacy Policies and Notices, Privacy Impact Assessments, Data Classification and Trade Secrets Protection, Data Life Cycle Management, Incident Response Plans and Tabletop Exercises, Information Security Risk Assessments and Maturity Assessments

Cybersecurity (50+)???????? Cyber Laws, Architecture and Policy, Data Loss Prevention, Governance, Risk and Compliance, Identity and Access Management, Incident Response and Forensic Analysis, Penetration Testing, Secure DevOps, Secure Software Development

Chaos Engineering (10+)?????????????? Introduction, Brief History, Principles of Chaos Engineering, Industry adoption, Role in distributed systems, Fallacies of Distributed Systems, Customer, business, and technical benefits, Chaos Engineering for service teams, Chaos Engineering experiments, Plan your First Experiment, Creating a Hypothesis, Measuring the Impact, Have a Rollback Plan, Fix the issues, Chaos Engineering resources, Conference presentations, Community

Deep Learning (50+)??????? Common Architectural Principles of Deep Networks; Building Blocks of Deep Networks; Convolutional Neural Networks (CNNs); Recurrent Neural Networks; Recursive Neural Networks; Building Deep Networks with ND4J; Applications to Sequence Data; Anomaly Detection; Tuning Deep Networks; Vectorization; Data Mining (Pre-requisites)

Machine Learning (50+)? Introduction to Machine Learning Supervised Learning - Parametric Methods Maximum Likelihood Estimation - Evaluate the Estimators - Bias - Variance; Parametric Classification, Parametric Regression -Tuning Model Complexity and Regularization - Multivariate Methods; Clustering -Mixture Model -K-Means Clustering -Expectation- Maximization Algorithm - Applications l; Non - Parametric Methods - Applications; Decision Trees - Linear Discrimination; Linear Discriminants, Basis Functions - Two Classes - Multiple Classes - Pairwise Separation - Gradient Descent Parameter Learning - Logistic Discrimination; Multilayer Perceptrons; Kernel Methods - SVM; Hidden Markov Models

Data Mining (50+)??????????? Introduction ( Data Mining definitions, Data Mining activities, DM process, DM challenges); Understanding Data (Various Data Types/ Attribute Types, Basic Statistical Descriptions of Data); Measuring Data Similarity and Dissimilarity; Data Pre-processing - Overview; Association Rule Mining - (Apriori Algorithm - FP Growth - generating association rules - efficiency concerns - evaluating patterns for interestingness - Applications; Classification, Linear/Non Linear Regression - Decision Trees, Naive Bayes; Clustering Algorithms: Partitioning Methods, Density Based Approaches to classification, Hierarchical Clustering

Data Analytics (50+)??????? Fundamentals of data engineering - data engineering vs data science; Data processing concepts - partitioning, replication, grouping and sorting, data locality; Flynn's taxonomy; Task vs Data Parallelism; Databases, parallel vs distributed databases, architecture - performance; Distributed computing architecture; Processing frameworks - batch, map-reduce, stream processing, parallel processing, real time processing; Cloud fundamentals - virtualization, batch-transactional-continuous workloads, execution models and examples- AWS, Azure etc.

Neo 4j, Cypher, Graph Database (50+)????? Graph Thinking, The Seven Bridges, Graph Elements, Graph Structure, Graphs Are Everywhere, Property Graphs, What is a Property Graph?, Native Graph Advantage, Non-graph Databases to Graph, Your First Graph, The Movie Graph, Reading Data from Neo4j, Introduction to Cypher, Retrieving Nodes, Finding Relationships, Traversing Relationships, Finding Emil, Filtering Queries, Finding Specific Actors, Writing Data to Neo4j, Creating Nodes, Creating a Node, Creating Relationships, Creating a Relationship, Updating Properties, Adding Properties to a Movie, Merge Processing, Adding or Updating a Movie, Deleting Data, Deleting Emil, Project Setup, Setting up the Project, Your Neo4j Sandbox, The Neo4j Python Driver, About the Driver, Connection Strings and Authentication, Adding the Driver, Interacting with Neo4j, Sessions and Transactions, Processing Results, The Neo4j Type System, The Home Page, Registering a User, Handling Driver Errors, Unique Email Addresses, Authenticating a User, Rating Movies, My Favorites List, Adding The Favorite Flag, Project Backlog, Browsing Genres, Finding Genre Details, Movie Lists and Pagination, Movie Details, Listing Ratings, Listing People, Person Profile

Data Science (100+)???????? Introduction to data science - definition, motivation; Data science process; Data aspects - types (structured/unstructured/semi structured), sources, formats (Apriorism etc.), representation; Data pre-processing; Data visualization; Data Science Applications; Ethics - privacy/legal aspects/rightful use of data science, processes, data scientists etc.

Data Structures and Algorithms Design (50+)??????? Stack, Queue, Hash Tables, Graphs, Bloom Filters, Trees, Sets, Dictionary, Dynamic Graphs; Divide-and-conquer, Dynamic Programming, Graph Algorithms, Greedy Algorithms - Spanning Tree, Amortized Analysis, Huffman encoding; Page Rank, Map Reduce (map, fork, join etc.); Complexity analysis

Kong (10+)?????????? Kong Konnect, Kong Gateway,? Kong Mesh, Running Kong as a Non-Root User, Resource Sizing Guidelines, Hybrid Mode, Kubernetes Deployment Options, Control Kong Gateway through systemd, Performance Testing Framework, DNS Considerations, Default Ports, Licenses, Security, Authentication and Authorization, Configure gRPC Plugins, GraphQL Quickstart, Logging Reference, Network and Firewall, Structure and File Types, Portal API, Working with Templates, Using the Editor, Configuration, Administration, Customization, Helpers CLI, Kong Vitals, Prometheus plugin, Zipkin plugin

Statistics (100+) Different types of data; Data Visualization; Data summarization methods; Tables, Graphs, Charts, Histograms, Frequency distributions, Relative frequency measures of central tendency and dispersion; Box Plot; Chebyshev’s Inequality on relationship between the mean and the standard deviation of a probability distribution; Basic probability concepts, Conditional probability, Bayes Theorem, Probability distributions, Continuous and discrete distributions, Transformation of random variables, Moments, Correlation and Covariance, Parameter Estimation, Hypothesis Testing

Collibra (50+)????? Introduction to Data Governance and Metadata Management, Business Drivers for Data Governance, Tools in market, Collibra Introduction, Structural and Organizational Concepts, Collibra on Prem and Collibra on Cloud, Business Glossary, Data Dictionary, Exporting and Importing Metadata, Policy Manager, Asset Assignments, Traceability Diagrams, Data Helpdesk, Stewardship, Workflow participation, Reference Data, Workflow Engineering, Collibra API, Collibra Catalog

Reltio MDM (50+)??????????? Introduction to Master Data Management with Reltio, Reltio User Experience, Creating Match Rules, Data Tenant Subscription Service, Exporting Data from Reltio, Loading Data into Reltio, Reference Data Management, Reltio Configuration Fundamentals, Reltio Connected Data for Snowflake, Reltio Connected Data Platform and Architecture, Reltio Solution Accelerators, Reporting and Analytics

Mastering a Master Data Management Program? Essential Master Data Management Concepts & Insights – 4 hours; Understanding Master Data; Definitions; Broader Perspective; Subject Areas and Subtypes; Attribute Levels; Relationships; Taxonomies; Getting Control of the Master Data; Why Programs Falter or Fail; Summary; ; Master Data as a Service – An Approach to Long-Term MDM Success – 4 hours; A New Perspective: An Approach to Master an MDM Program; Data as an Asset Perspective; Data as a Product Perspective; The Product Marketplace; Success Factors; The Master Data Marketplace: An MDM Program Architecture; Architecture Principles; Frameworks; ITIL Service Lifecycle Management; Masterdome? Operating Model; The Business Plan: Planning the Master Data Marketplace; Product/Service; Place; Price; Promotion; Risks; ; Governing Master Data – 4 hours; Industry Definitions; Data Governance in Daily Life; Forms of Government; Branches of Government; Division of Power; Creating a Charter; Select a Platform; Roles; Stewardship Alignment; Governing Rules & Specifications; Branch Functions; Scope; Special Interest Groups; Domestic & Foreign Affairs; Process Control; A Broader Perspective; Develop Your Campaign; ; Marketing the MDM Program & Service – 4 hours; Create the Message; Operating Model Fit; Adoption Curve; Different Approaches; Justification; Deliver the Message; Best Practices; Branding the MDM Program; Start Campaigning; Handling Objections; Close the Sale; Stakeholder Profiling; Building Support; Process Components; ; MDM Service Operating Model – Part 1 – 4 hours; Inventory Management; Operating Model; Master Data Characteristics; Options; Architectures; Product Catalog; Sourcing; Operating Model; Processes; Business Lifecycle; Data Silos; Data Quality Dimensions; Agreements; Product Catalog; Delivery; Operating Model; Logistics; Product Catalog; Key Components; Quality Control; Operating Model; Quality Assessments; Metrics; Lean Six Sigma for Data; Product Catalog; Manufacturing / Enrichment; Operating Model; Authoring; Transformation; Relationships; Product Catalog; Summary; ; MDM Service Operating Model – Part 2 – 4 hours; Request Taking; Operating Model; Marketplace Shoppers; Questions; Best Practices; Agreements; Estimation Models; Product Catalog; Request Fulfilment; Operating Model; SLAs; Key Components; Product Catalog; Finance; Operating Model; Budgets; TCO; Pricing Options; Product Catalog; Invoicing; Operating Model; Key Components; Product Catalog; Customer Service; Operating Model; Objectives and Responsibilities; Key Components; Summary; ; Selecting Technology for the MDM Program – 4 hours; Review of the MDM Architecture; Masterdome? Operating Model; MDM Framework; Selecting Technology for the MDM Program; Content Management; Data Model; Data Quality Capabilities; Metadata / Context Management Capabilities; MDM Software Architecture; Security; Data Governance Capabilities; Usage Agreements; ???????????? Summary

Kyligence (50+)? Kyligence Pivot to Snowflake Demo, Hassle-Free Data Governance with Kyligence, Interactive Analytics with Microsoft Excel on Billions of Rows, AI-Augmented Modeling with Kyligence, Kyligence Enterprise 4 - AI-Augmented Mode, Kyligence Cloud 3.0 - Agile and Intelligent Big Data Analytics in the Cloud, Build a Unified Data Service with Kyligence MDX, Kyligence Insight - A Unified Self-Service Big Data Analytics Workspace, High-Performance Big Data Analytics for Tableau Users, Kyligence Cloud 3.0 Overview - Agile and Intelligent Big Data Analytics in the Cloud, Accelerate Big Data Analytics in One Click with Kyligence Enterprise 4.0, Accelerate Tableau BI on Big Data with Kyligence, Kyligence Cloud On Microsoft Azure: Creating Clusters and Query Requests, Easily Work with Massive Datasets Using Qlik and Kyligence, Enable Interactive Big Data Analytics with Power BI on Massive Datasets Using Kyligence, Introducing Kyligence Insight for Apache Superset, Running Kyligence on Google Cloud Platform, How to Use Kyligence Enterprise, Provision Kyligence Analytics Platform (KAP) as an HDInsight Application, Using Kyligence Analytics Platform (KAP) with Power BI DirectQuery, Kyligence - Intelligence Data Cloud, Analytics performance layer and Cloud based analytics, Kyligence Model design, Query routing

Cloud Security Posture management. (50+)?????????? Introduction, Importance of CSPM, Cloud Infrastructure Entitlement Management, Benefits of CSPM, Working of CSPM, DevSecOps Integration, Continuous Threat Detection, Misconfiguration Management and Remediation, Discovery and Visibility, CSPM and other cloud security solutions, Cloud Workload Protection Platforms (CWPPs), Cloud Access Security Brokers (CASBs), Threat Hunting, Data Loss Prevention, Shared Responsibility Model, Container Security, Cloud Access Security Broker (CASB), Cloud Security Assessment, Cloud Application Security, Cloud Infrastructure Entitlement Management, Runtime Application Self-Protection

Informatica Data Quality (IDQ) (50+)??????? Informatica Overview, Analyst Collaboration, Profiling, Standardization/Mapplets, Matching, Consolidation and the DQA, Object Import and Export, Transformations, Parsers, DQ for Excel, Parameters, Content

TIBCO EBX (50+)?????????????? EBX Overview, Datasets, Data models, Dataspaces, Permissions, Workflow execution, Simple workflow models, Perspectives, Data services, TIBCO Responsive Application Mesh, Hyperconverged Analytics, Model Ops, Anomaly Detection, Data Catalog, Blockchain Technology, Data as a Service, Reference Data Management

Cloud Computing and Virtualization? (100+)????????? Enabling Technologies and System Models for Cloud Computing; Cloud Computing Models including Infrastructure/Platform/Software – as-a-service, public cloud, private cloud and hybrid; Cloud Operating System, Cloud Architectures including Federated Clouds; Scalability, Performance, Quality of Service, Data centers for Cloud Computing; Virtualization platforms; VMWare ESX Memory Management

Big Data and Data Lake (50+)?????? Big data and Hadoop and concept, application, cloud computing, generators of big-data; Central tendencies and dispersion, central, limit theorem, sampling distribution, hypothesis testing, simple linear regression, categorical data analysis, analysis of variance (ANOVA), non-parametric tests; Introduction to decision trees, model design and data audit, demo of decision tree development, algorithm behind decision tree and other decision tree’ Understanding cluster analysis using R, clustering as strategy, hierarchical clustering, non-hierarchical clustering - K means clustering, variants of hierarchical clustering, different distance and linkage functions; Predictive Modelling – Logistic Regression using R Data import and sanity check, development and validation, important categorical variable selection, important numeric variable selection, indicator variable creation, stepwise regression, dealing with multicollinearity, logistic regression score and probability, KS calculation, coefficient stability check, iterate for final model; Time series vs causal models moving averages, exponential smoothing, trend, seasonality, cyclicity causal modelling using linear regression forecast accuracy.

Advanced Analytics in R (50+)?????

Advanced Data Science (50+)??????

Alteryx (50+)?????? Introduction to Alteryx, Understanding Alteryx Designer, Alteryx designer Interface, User and Workflow settings, Alteryx designer, Alteryx designer overview, Components, Configuration, workflows , Remodeling the data processors, Split data, skip records, use a record as field headings, pivot and unpivot data and trim and split fields , Input Data, Dynamic Rename, Text to columns, Transpose, Cross Tab, Formula, Directory, Comment, Sample, Tool Container, Select, Filter, Output Data, Record Id, Unique, Joining data from varied sources, Filter, Summarize, Browse, Union, Join Multiple, Input Data, Formula, Join, Output Data, Data Filter, Generate Row, Handling of data, Impute Values, Data Cleansing, Formula, Append Field, Random Sample, Unique, Running tool, Creation of static reporting, Table, Charts, Layout, Datetime Now, Email, Sort, Render, resort map, Report Text, Image, Performing spatial analysis, Create Points, Spatial Match, Find Nearest, Trade area, Distance, Special info, Phrasing data with regular expressions, List Box, Numeric Up Down, Checkbox, Control Parameter, Action, Image, File Browse, Radio Button, Creating analytics app, List Box, Numeric Up Down, Checkbox, Control Parameter, Action, Image, File Browse, Radio Button, Understanding Macros, Create standard macro, Batch macro, Macro Input, Macro Output, Dynamic Rename, Dynamic Input, Control Parameter, Action, How join and blend data, Input data, Unique, Select, Union, Formula , Browse, Fuzzy Match, Join, Filter, Auto Field, Exploring the Database connection, Join In-DB, Data Stream In, Data Stream Out, Select In-DB, Connect In-DB, Filter In-DB, Formula In-DB, Summarize In-DB, Regression techniques, Score, Visualization, Lift Charts, Nested test, Linear regressions, Logistic Regressions, Stepwise Regressions, Decision tree,? Module14: Exploring the clusters, Append Cluster, K-Centroids Analysis, Visualization

Looker UI (GCP) (50+)????? Module 1. Getting Started with Looker; Navigate to Explores and Saved Content ; Create Looks; Work with Dimensions and Measures; Exploring Data in Looker; Build and Save Reports; Module 2. Introduction to Data Modeling; Dimensions and fact tables; Dimensional model; Star and SnowFlake schema; Understanding the data source; Module 3. Getting started with LookML; Understanding Looker Project Structure; How to create a view; How to create a model; Building Explores; How looker generates SQL; SQL runner basics; Editing and Validating LookML; Data security in looker; Model Parameters; Explore Parameters; View Parameters; Join Parameters; Field Parameters; Reusing existing dimensions; Measures; Sets; Module 4. Building Visualizations:; Building Visualizations; Creating user-defined dashboard; Creating LookML Dashboard; Create Different Visualizations; Table; Bar Chart; Scatter plot; Line Chart; Area; Pie Chart; Single Value(KPI); Box Plot; Funnel Chart; Donut Multiples; Module 5. Advanced LookML Concepts; Derived tables; Reusing code with extends; Table calculations; Liquid variables and Parameters; Filtering Explore data; Always filter on Explore; Always where on explore; Conditional filter; Content Validation; Changing Filter suggestions; Template filters

Cloud Infrastructures – Azure (50+)?????????? Cloud Operating System, Cloud Architectures including Federated Clouds; Cloud Computing Models including Infrastructure/Platform/Software – as-a service, Public cloud, private cloud and Hybrid; Scalability, Performance, Quality of Service, Data centers for Cloud Computing; Principles of Virtualization platforms, Security and Privacy issues in the Cloud, Virtualization Techniques & Virtualization Technology; VMWare ESX Memory Management, Capacity Planning and Disaster Recovery in Cloud Computing

Data Governance (50+)?? Introduction to Data Governance, Business Glossary, Data Catalog; Metadata management, Data Lineage; Data Quality; Data Access and Ownership; Data Privacy; Data Security; Master Data Management; Data Trust; Change Management and Adoption; Data Governance implementation strategies, Measuring the Success of DG Program; DAMA Framework; DCAM Framework; Data Governance on cloud technologies – Azure Purview, Azure Data Factory; Future of Data Governance

CDMP (DAMA) (50+)?????? 1: Data Management; 2: Data Handling Ethics; 3: Data Governance; 4: Data Architecture; 5: Data Modeling and Design; 6: Data Storage and Operations; 7: Data Security; 8: Data Integration and Interoperability; 9: Document and Content Management; 10: Reference and Master Data; 11: Data Warehousing and Business Intelligence; 12: Metadata Management; 13: Data Quality; 14: Big Data and Data Science; 15: Data Management Maturity Assessment; 16: Data Management Organization and Role Expectations; 17: Data Management and Organizational Change Management

TOGAF (50+)?????? Unit 1: Introduction and Concepts; Unit 2: Definitions; Unit 3: Introduction to the ADM Phases; Unit 4: Introduction to ADM Techniques; Unit 5: Introduction to Applying the ADM; Unit 6: Introduction to Architecture Governance; Unit 7: Architecture Content; Unit 8 – Concepts; Unit 9 – Stakeholder Management; Unit 10 – Phase A, the Starting Point; Unit 11 – Architecture Development; Unit 12 – Implementing the Architecture; Unit 13 – Architecture Change Management; Unit 14 – Requirements Management; Unit 15 – Supporting the ADM Work

Financial Modeling using Excel (50+)??????? Investment banking and allied activity Core functions- book building, underwriting, merger and acquisitions and advisory, Asset management; Market and security issuances Introduction- equity and debt market, primary market investors, primary market intermediaries and support services providers, General statutory provision for issuance of securities.; Domestic issue management Introduction-eligibility for issue management, Initial public offer, Follow on public offer, Important terms and provisions of ICDR regulation on public offers.; Underwriting Concept, underwriting in fixed and book built offer, assessment of an issue for underwriting.; Mergers and Acquisitions Business strategy, basics of mergers and acquisition, concept of value in the context of merger and acquisition, approaches to valuation in case of M & A, selection of appropriate cost of capital for valuation , shareholder value analysis, exchange ratio base for computation, post-merger integration process.; Buyback and delisting Introduction to share buyback and delisting, pricing of share buyback, types of delisting-Voluntary and compulsory; Corporate Restructuring Concept of corporate restructuring, rescue and insolvency, revival, rehabilitation and restructuring of sick units, securitization and debt recovery, winding up and corporate restructuring- external and internal.; Global capital market offers Introduction, international bond market, depository receipts-ADR and GDR, international regulatory framework; Private placements Assessment of private placements-debt and equity, regulatory framework, transaction.

Management Control System (50+)?????????? Financial goal setting,? Analysis of Incremental ROI? Sensitivity Analysis? Developing financial goals along organizational hierarchy? Concept and technique of Responsibility Budgeting? Analytical framework for Developing Responsibility Budgets? Integrating Responsibility Budgets Integrating Responsibility Budgeting with MBO System; Organizational growth : -Responsibility centers and profit centers -Identification and creation of profit centers, profit centers as a control system? Decentralization and profit centers; Mechanics of determining profit objectives of profit centers? problems and perspectives of transfer pricing? Linear? programming technique for determining divisional goals in a multidivisional company? Problems of growth and corporate control; Application of MCS in Public Sector, Service Organization & Proprietary Organizations

Management Information System (50+)?

Reverse Mortgage (50+) What is Fair Lending? Explanations of Fair Lending ACTS; Types of Discrimination- examples aka case studies; Examples of settlements deriving from non-compliance with FLA; Examinations from regulatory bodies; Lenders responsibilities; What is Fair Lending?; Explanations of Fair Lending ACTS ; Types of Discrimination- examples aka case studies ; Examples of settlements deriving from non-compliance with FLA ; Examinations from regulatory bodies ; Lenders responsibilities

Basic and Advanced Excel (100+)?????????????? Describing Numeric Data, Pivot Table Analysis, Linear Regression, Comparing Two Sample Variances, Comparing Two Sample Means, Pair T Test, One Way ANOVA, Two Way ANOVA, Generating Random Numbers, Rank and Percentile, Histogram Procedure, Exponential Smoothing and Moving Average, Sampling, Covariance and Correlation, Goal Seek and Solver

Excel introduction; An overview of the screen, navigation and basic spreadsheet concepts; Various selection techniques; Shortcut keys; Customizing excel; Customizing the ribbon; Using and customizing autocorrect; Changing excel’ s default options; Using basic functions; Using functions – sum, average, maximin, count, count; Absolute, mixed and relative referencing; Formatting and proofing; Formatting cells with number formats, font formats, alignment, borders, etc.; Basic conditional formatting; Mathematical functions; Sumif, sumifs countif, countifs averageif, averageifs; Protecting excel; File level protection; Workbook, worksheet protection; Text functions; Upper, lower, proper; Left, mid, right; Trim, len, exact; Concatenate; Find, substitute; Date and time functions; Today, now; Day, month, year; Date, date if, dateadd; Eomonth, weekday; Advanced paste special techniques; Paste formulas, paste formats; Paste validations; Transpose tables; New in excel 2013 / 2016 & 365; New charts – tree map & waterfall; Sunburst, box and whisker charts; Combo charts – secondary axis; Adding slicers tool in pivot & tables; Using power map and power view; Forecast sheet; Sparklines -line, column & win/ loss; Using 3-d map; New controls in pivot table – field, items and sets; Various time lines in pivot table; Auto complete a data range and list; Quick analysis tool; Smart lookup and manage store; Sorting and filtering; Filtering on text, numbers & colors; Sorting options; Advanced filters on 15-20 different criteria(s); Printing workbooks; Setting up print area; Customizing headers & footers; Designing the structure of a template; Print titles –repeat rows / columns; Advance excel; What if analysis; Goal seek; Scenario analysis; Data tables (pmt function); Solver tool; Logical functions; If function; How to fix errors – iferror; Nested if; Complex if and or functions; Data validation; Number, date & time validation; Text and list validation; Custom validations based on formula for a cell; Dynamic dropdown list creation using data validation – dependency list; Lookup functions; Vlookup / hlookup; Index and match; Creating smooth user interface using lookup; Nested vlookup; Reverse lookup using choose function; Worksheet linking using indirect; Vlookup with helper column; Pivot tables; Creating simple pivot tables; Basic and advanced value field setting; Classic pivot table; Grouping based on numbers and dates; Calculated field & calculated items; Arrays functions; What are the array formulas, use of the array formulas?; Basic examples of arrays (using ctrl+shift+enter).; Array with if, len and mid functions formulas.; Array with lookup functions.; Advanced use of formulas with array.; Charts and slicers; Various charts i.e. Bar charts / pie charts / line charts; Using slicers, filter data with slicers; Manage primary and secondary axis; Excel dashboard; Planning a dashboard; Adding tables and charts to dashboard; Adding dynamic contents to dashboard; ; ; Vba macro; Introduction to vba; What is vba?; What can you do with vba?; Recording a macro; Procedure and functions in vba; Variables in vba; What is variables?; Using non-declared variables; Variable data types; Using const variables; Message box and inputbox functions; Customizing msgboxes and inputbox; Reading cell values into messages; Various button groups in vba; If and select statements; Simple if statements; The elseif statements; Defining select case statements; Looping in vba; Introduction to loops and its types; The basic do and for loop; Exiting from a loop; Advanced loop examples; Mail functions – vba; Using outlook namespace; Send automated mail; Outlook configurations, mapi; Worksheet / workbook operations; Merge worksheets using macro; Merge multiple excel files into one sheet; Split worksheets using vba filters; Worksheet copiers

AWS SDK for Python Boto3 (50+)?????????????? Configuration, Credentials, Low-level clients, Resources, Session, Collections, Paginators, Error handling, Retries, Extensibility guide, Cloud9, Amazon CloudWatch examples, Amazon DynamoDB, Amazon EC2 examples, AWS Identity and Access Management examples, AWS Key Management Service (AWS KMS) examples, Amazon S3 examples, AWS Secrets Manager, Amazon SES examples, Amazon SQS examples, Creating a queue, Using an existing queue, Sending messages, Processing messages

Data Governance (100+)?????????????? ASG DI, Erwin DI, Infogix Data 360, Infogix DQ Plus, Collibra, Informatica EDC, Axon, IDQ, Ataccama One, Talend Data Fabric, TIBCO EBX, Reltio MDM. Atlas. Alation

Data Visualization (100+)?????????????? Tableau, Power BI, SAP Lumira

Data Analytics (100+)????? Alteryx, R, Python

Reporting (100+)????????????? MS Excel, SAP BO

ETL (100+)?????????? Talend, SAP BODS, Informatica Power Center

Database (100+)?????????????? Oracle, SQL Server, Post-gre sql, Neo 4j Graph, Snowflake, Hive

Core Banking Solution (50+)???????? TCS BaNCs, Finacle, T24

Statistics (100+) SPSS

Office (100+)?????? MS Office

Programming Languages (100+)? C, C++, Python

Cloud Technologies (100+)??????????? Azure, AWS, GCP, Oracle, IBM, Alibaba, Salesforce, SAP

Virtualization (100+)??????? Vmware ESX, Openstack

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Databricks Lakehouse Fundamentals??????? Databricks Lakehouse Fundamentals

Databricks Lakehouse Fundamentals??????? Intro to Data Lakehouse

?????????????? Intro to Databricks Lakehouse Platform

?????????????? Intro to Databricks Lakehouse Platform Architecture and Security Fundamentals

?????????????? Intro to Supported Workloads on the Databricks Lakehouse Platform

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Databricks Platform Architect????? Databricks Platform Architect

Databricks Platform Architect????? Describe how to administer users in groups in the Databricks Lakehouse Platform, including:

?????????????? ?

?????????????? Importing from identity providers

?????????????? User-group relationship management

?????????????? Admin roles

?????????????? Workspace APIs

?????????????? Describe how to manage compute resources in the Databricks Lakehouse Platform, including:

?????????????? ?

?????????????? Clusters (init scripts, variables, policies, types, pools)

?????????????? Databricks SQL wWarehouses (classic, serverless)

?????????????? MLflow Model Serving

?????????????? Orchestration rResources (jobs, pipelines)

?????????????? Describe how to govern and secure the Databricks Lakehouse Platform and its capabilities and objects, including:

?????????????? ?

?????????????? Permissions configurations (workspace assets, jobs, clusters and cluster pools)

?????????????? Data governance (table types, views, sharing, security models)

?????????????? Secret management

?????????????? Delta sharing

?????????????? Model governance

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Generative AI Engineering???????????? Generative AI Engineering

Generative AI Engineering???????????? Day 1

?????????????? Generative AI and LLMs

?????????????? Primer on natural language processing

?????????????? Databricks and LLMs

?????????????? LLM applications

?????????????? Retrieval augmented generation

?????????????? Multistage reasoning

?????????????? Day 2

?????????????? Fine-tuning LLMs

?????????????? Evaluating LLMs

?????????????? Society and LLMs

?????????????? LLMOps

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GCP Platform Architect?? GCP Platform Architect

GCP Platform Architect?? Platform administration fundamentals

?????????????? Account API usage

?????????????? External storage

?????????????? Cloud service integrations

?????????????? Customer-managed VPCs

?????????????? Customer-managed keys

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AWS Platform Architect? AWS Platform Architect

AWS Platform Architect? Platform administration fundamentals

?????????????? Account API usage

?????????????? External storage

?????????????? Cloud service integrations

?????????????? Customer-managed VPCs

?????????????? Customer-managed keys

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Azure Platform Architect?????????????? Azure Platform Architect

Azure Platform Architect?????????????? Platform administration fundamentals

?????????????? Network configuration

?????????????? Platform access and security

?????????????? External storage configuration

?????????????? Cloud service integrations

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Databricks Certified Associate Developer for Apache Spark???????????? Databricks Certified Associate Developer for Apache Spark

Databricks Certified Associate Developer for Apache Spark???????????? Understanding the basics of the Spark architecture, including Adaptive Query Execution

?????????????? Apply the Spark DataFrame API to complete individual data manipulation task, including:

?????????????? ?

?????????????? selecting, renaming and manipulating columns

?????????????? filtering, dropping, sorting, and aggregating rows

?????????????? joining, reading, writing and partitioning DataFrames

?????????????? working with UDFs and Spark SQL functions

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Databricks Certified Hadoop Migration Architect Databricks Certified Hadoop Migration Architect

Databricks Certified Hadoop Migration Architect Compare the typical Hadoop platform with the Databricks Lakehouse Platform, including:

?????????????? ?

?????????????? Platform comparisons

?????????????? Technology equivalents

?????????????? Platform security

?????????????? Architect data and metadata migrations from Hadoop to Databricks, including:

?????????????? ?

?????????????? Migration concepts

?????????????? Push approach

?????????????? Pull approach

?????????????? Architect code and workflow migrations from legacy Hadoop deployments to Databricks and its partners, including:

?????????????? ?

?????????????? Data management

?????????????? Environment configuration

?????????????? Apache Spark and Delta Lake

?????????????? Perform final cutover from the source system to Databricks, including:

?????????????? ?

?????????????? Parallel deployments

?????????????? Validation

?????????????? Offboarding

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Apache Spark Programming with Databricks???????? Apache Spark Programming with Databricks

Apache Spark Programming with Databricks???????? Day 1

?????????????? Spark overview

?????????????? Databricks platform overview

?????????????? SparkSQL

?????????????? DataFrame reader, writer, transformation, and aggregation

?????????????? Datetimes

?????????????? Complex types

?????????????? ?

?????????????? Day 2

?????????????? User-defined functions (UDFs) and vectorized UDFs

?????????????? Spark internals

?????????????? Query optimization

?????????????? Partitioning

?????????????? Streaming API

?????????????? Delta Lake

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Advanced Data Engineering with Databricks????????? Advanced Data Engineering with Databricks

Advanced Data Engineering with Databricks????????? Day 1

?????????????? The Lakehouse Architecture

?????????????? Optimizing Data Storage

?????????????? Understanding Delta Lake Transactions

?????????????? Delta Lake Isolation with Optimistic Concurrency

?????????????? Streaming Design Patterns

?????????????? Clone for Development and Data Backup

?????????????? Auto Loader and Bronze Ingestion Patterns

?????????????? Streaming Deduplication and Quality Enforcement

?????????????? Slowly Changing Dimensions

?????????????? Streaming Joins and Statefulness

?????????????? ?

?????????????? Day 2

?????????????? Stored and Materialized Views

?????????????? Storing Data Securely

?????????????? Granting Privileged Access to PII

?????????????? Deleting Data in the Lakehouse

?????????????? Orchestration and Scheduling with Multi-Task Jobs

?????????????? Monitoring, Logging, and Handling Errors

?????????????? Promoting Code with Databricks Repos

?????????????? Programmatic Platform Interactions (Databricks CLI and REST API)

?????????????? Managing Costs and Latency with Streaming Workloads

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Data Analysis with Databricks SQL???????????? Data Engineering with Databricks

Data Analysis with Databricks SQL???????????? Databricks SQL overview

?????????????? Tables and views

?????????????? Ingesting data

?????????????? Delta commands in Databricks SQL

?????????????? Data visualization and dashboards

?????????????? Notifying Stakeholders

?????????????? Final lab assessment

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Data Engineering with Databricks????????????? Data Engineering with Databricks

Data Engineering with Databricks????????????? Day 1

?????????????? Introduction to Databricks Lakehouse Platform, Workspace, and Services

?????????????? Delta Lake

?????????????? Relational entities on Databricks

?????????????? ETL with Spark SQL

?????????????? Just enough Python for Spark SQL

?????????????? Incremental data processing with Structured Streaming and Auto Loader

?????????????? ?

?????????????? ?? Day 2

?????????????? Medallion architecture in the data lakehouse

?????????????? Delta Live Tables

?????????????? Task orchestration with Databricks Jobs

?????????????? Databricks SQL

?????????????? Managing Permissions in the lakehouse

?????????????? Productionizing dashboards and queries on Databricks SQL

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Deep Learning with Databricks??? Deep Learning with Databricks

Deep Learning with Databricks??? Day 1

?????????????? Neural network and tf.keras fundamentals???

?????????????? Improve models by adding data standardization, callbacks, checkpointing, etc.???

?????????????? Track and version models with MLflow???

?????????????? Distributed inference with pandas UDFs???

?????????????? Distributed hyperparameter tuning with HyperOpt???

?????????????? Distributed model training with Horovod

?????????????? ?

?????????????? Day 2

?????????????? Distributed model training with Horovod and Petastorm???

?????????????? Model interpretability with LIME and SHAP???

?????????????? CNNs for image classification and transfer learning????

?????????????? Deploy REST endpoint using MLflow Model Serving on Databricks???

?????????????? Textual embeddings, RNNs, attention-based models, and transfer learning for named entity recognition (NER)

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Optimizing Apache Spark on Databricks?? Optimizing Apache Spark on Databricks

Optimizing Apache Spark on Databricks?? Day 1

?????????????? Review of Spark architecture and Spark UI???

?????????????? Skew???

?????????????? Spill???

?????????????? Shuffle???

?????????????? Storage???

?????????????? Serialization

?????????????? ?

?????????????? Day 2

?????????????? Ingestion basics???

?????????????? Predicate push downs???

?????????????? Disk partitioning???

?????????????? Z-ordering???

?????????????? Bucketing???

?????????????? Optimization with Adaptive Query Execution (AQE)???

?????????????? Designing and configuring clusters for high performance

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Scalable Machine Learning with Apache Spark???? Scalable Machine Learning with Apache Spark

Scalable Machine Learning with Apache Spark???? Day 1

?????????????? Spark / ML overview???

?????????????? Exploratory data analysis (EDA) and feature engineering with Spark???

?????????????? Linear regression with SparkML: transformers, estimators, pipelines, and evaluators???

?????????????? MLflow Tracking and Model Registry

?????????????? ?

?????????????? Day 2

?????????????? Tree-based models: Hyperparameter tuning and parallelism????

?????????????? HyperOpt for distributed hyperparameter tuning???

?????????????? Databricks AutoML and Feature Store???

?????????????? Integrating 3rd party packages (distributed XGBoost)????

?????????????? Distributed inference of scikit-learn models with pandas UDFs???

?????????????? Distributed training with pandas function API????

?????????????? Pandas API on Spark for data manipulation