Last updated on 2024年8月23日

What are the main topics and skills covered in a data warehouse certification and training program?

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Data warehouse architecture is the design and implementation of a system that stores, integrates, and analyzes data from various sources to support business intelligence and analytics. A data warehouse certification and training program can help you acquire the knowledge and skills needed to plan, build, and manage a data warehouse solution that meets the needs of your organization and users. In this article, we will explore some of the main topics and skills covered in a data warehouse certification and training program.

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1 Data warehouse concepts and models

A data warehouse certification and training program will introduce you to the fundamental concepts and models of data warehousing, such as data marts, dimensional modeling, star and snowflake schemas, facts and dimensions, hierarchies and levels, measures and attributes, and data quality and governance. You will learn how to design a data warehouse that follows the best practices and principles of data warehousing, such as data integration, data consistency, data granularity, data history, and data accessibility.

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Sagar Navroop

? Architect | ??????????-?????????????? | Technologist
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Data warehouse certification and training programs include data warehousing concepts/models, covering star, snowflake schemas, and data mart architectures. They delve into ETL/ELT tools, modern cloud technologies like AWS Redshift, Azure Synapse, and Google BigQuery. Architectural discussions include on-premises, cloud, or hybrid deployments, design patterns, and optimization techniques for scalability and performance. Security modules address encryption, access controls, and regulatory requirements. Best practices focus on data governance, version control, and agile methodologies. Practical exercises reinforce skills in data modeling, SQL querying, and troubleshooting skills, data warehouse implementation and management.

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Dylan Pulver

Senior Software Developer | Specialist in Full-Cycle Development & Advanced Data Systems | Proven Success in System Architecture & Operational Efficiency | Exploring Opportunities in Tech Leadership & Startups
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1. Fundamental Concepts: Learn about data marts, dimensional modeling, and schemas like star and snowflake. 2. Design Principles: Understand best practices in data integration, consistency, granularity, and accessibility. 3. Data Quality & Governance: Gain skills in ensuring data quality and implementing governance practices for effective data management.

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2 Data warehouse tools and technologies

A data warehouse certification and training program will teach you how to use various tools and technologies to implement a data warehouse solution, such as data extraction, transformation, and loading (ETL) tools, data warehouse platforms and databases, data warehouse management systems, data warehouse query languages, and data warehouse testing tools. You will learn how to select, configure, and use the appropriate tools and technologies for your data warehouse project, such as choosing the right ETL tool for your data sources, selecting the best data warehouse platform for your data volume and performance, and writing efficient and accurate data warehouse queries.

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Simon Terr

Principal Data Architect and Consultant
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Additional tools and technologies may include support for real time data ingestion, batch and near-real time data ingestion, and data extraction, loading, and transformation (ELT).

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3 Data warehouse architectures and design patterns

A data warehouse certification and training program will show you how to apply different architectures and design patterns to your data warehouse solution, such as centralized, distributed, federated, hub-and-spoke, bus, data vault, and lambda architectures. You will learn how to evaluate the advantages and disadvantages of each architecture and design pattern, and how to choose the best one for your data warehouse project, such as considering the scalability, flexibility, complexity, security, and cost of each option.

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JL Suarez, MBA

?? 50 x LinkedIn Top Voice: ??Senior Manager of Corporate Insights, Analytics, and Data at Holiday Inn Club Vacations??: Inspiring Innovation & Leadership in Business Intelligence??
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Choosing the right data warehouse architecture is like picking the perfect outfit for a first date – you want to make a good impression, but you also need to be comfortable and true to yourself. As a Senior Manager in Business Intelligence, I've seen the magic that happens when the right architecture aligns with a company's goals. It's not just about the fancy buzzwords like 'lambda' or 'data vault' – it's about understanding the unique needs of your business and finding a solution that's scalable, flexible, and secure. So, roll up your sleeves and dive into the world of data warehouse architectures – it's a game-changer! ??????

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Simon Terr

Principal Data Architect and Consultant
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Design patterns are also informed by the tools & technologies utilized and data ingestion methods, such as real time, batch, ETL, and ELT.

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4 Data warehouse optimization and performance tuning

A data warehouse certification and training program will help you improve the performance and efficiency of your data warehouse solution, such as data loading, data storage, data processing, data retrieval, and data analysis. You will learn how to optimize and tune your data warehouse solution using various techniques and methods, such as indexing, partitioning, compression, caching, parallelism, aggregation, materialized views, and query optimization. You will also learn how to monitor and troubleshoot your data warehouse solution using various tools and metrics, such as logs, alerts, dashboards, and benchmarks.

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5 Data warehouse security and compliance

A data warehouse certification and training program will teach you how to protect your data warehouse solution from unauthorized access, misuse, or loss, such as data breaches, data corruption, or data leakage. You will learn how to implement various security and compliance measures for your data warehouse solution, such as encryption, authentication, authorization, auditing, backup, recovery, and disaster recovery. You will also learn how to comply with various laws and regulations that apply to your data warehouse solution, such as data privacy, data retention, and data sovereignty.

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6 Data warehouse best practices and trends

A data warehouse certification and training program will update you on the latest best practices and trends in data warehousing, such as data warehouse automation, data warehouse modernization, data warehouse cloud migration, data warehouse self-service, and data warehouse artificial intelligence. You will learn how to adopt and leverage these best practices and trends to enhance your data warehouse solution and stay ahead of the competition. You will also learn how to keep your skills and knowledge current and relevant in the fast-changing field of data warehousing.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Fawad A. Qureshi

Global Field CTO @ Snowflake | LinkedIn Learning Instructor | Sustainability ??, Data Strategy, Business Transformation
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The main difference between a datawarehouse and a transactional database is the difference in the read/write ratio. In the transactional world the ratio between read and write and 50/50; While in the datawarehouse world the ratio is 80% read and 20% write which is why often the datawarehouses are optimized for reading over writing. This is a compromise taken to serve the business requirements in a more cost effective manner.

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Claudio Bonel, M.Sc.

Professor | Pesquisador | Cientista de dados | Desenvolvedor de Machine learning | Inteligência artificial | Business Intelligence | Python | SQL | Power BI | CSD | PhD Student
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Sem quando me deparo n?o somente com programas de treinamento mas, com projetos pedagógicos de curso, que s?o direcionados a Data Warehouse, busco se foi considerado a disciplina de Engenharia de Requisitos. No meu ponto de vista, deveria ser a primeira porta a ser aberta qdo você vai desenvolver um sistema de data warehouse, pois e ela que vai te dar a compreens?o do minimundo, dos objetivos e requisitos de negócio que, s?o o insumo para você realizar uma modelagem conceitual e lógica, antes de implementar. Creio que devemos jogar luz sobre a Engenharia de Requisitos, pois certamente, pela minha experiência, contribui bastante para o desenvolvimento de um DW. Dúvidas? Chamaí!

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What are the main topics and skills covered in a data warehouse certification and training program?

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1 Data warehouse concepts and models

2 Data warehouse tools and technologies

3 Data warehouse architectures and design patterns

4 Data warehouse optimization and performance tuning

5 Data warehouse security and compliance

6 Data warehouse best practices and trends

7 Here’s what else to consider

Data Warehouse Architecture

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