Microsoft Certified Azure Data Engineer Associate | DP 203 | Step By Step Activity Guides (Hands-On Labs)

This post helps you in Data Engineering on the Microsoft Azure journey with your self-paced learning as well as for your team learning. There are 10 Hands-On Labs?in this course.

1) Register For A Free Azure Cloud Account

Creating an?Azure free account ?is one way to access Azure services. When you start using Azure with a free account, you get?USD2001 credit to spend in the first 30 days after you sign up. In addition, you get free monthly amounts of two groups of services: popular services, which are free for 12 months, and more than 25 other services that are free always.

2) Explore Azure Synapse Analytics

In the competitive world of retail, staying ahead of the curve is essential. As the Sr. Data Engineer of a growing retail company called “Fashion Forward,” you’re faced with the challenge of making data-driven decisions in a rapidly changing market. To meet this challenge, you decide to explore Azure Synapse Analytics, a promising solution in the Azure ecosystem.

3) Query Files using a Serverless SQL Pool

In today’s data-driven business landscape, organizations rely heavily on data analysis to make informed decisions. As the Head of Data Analytics at “TechCo,” a rapidly expanding technology company, you are tasked with finding an efficient way to analyze large volumes of data without the complexities of managing infrastructure. To address this challenge, you decide to leverage Serverless SQL Pools within Azure Synapse Analytics for querying files and extracting valuable insights.

4) Transform files using a serverless SQL pool

In today’s data-centric business environment, organizations often face the challenge of efficiently transforming large volumes of data to extract valuable insights. As the Director of Data Engineering at “DataTech Solutions,” a data-focused company, you are tasked with finding a scalable and cost-effective solution for data transformation. To meet this challenge, you decide to utilize Serverless SQL Pool within Azure Synapse Analytics for transforming files and enhancing data quality.

5) Analyze data in a lake database

In today’s data-driven business environment, organizations are continually looking for ways to harness the power of their data for insights and decision-making. As the Chief Analytics Officer (CAO) of a global retail conglomerate called “RetailX,” you recognize the importance of analyzing vast amounts of data stored in your data lake database. To derive valuable insights and drive data-centric strategies, you embark on a journey to analyze data in your data lake database.

6) Analyze data in a data lake with Spark

In today’s data-centric business landscape, organizations are continuously seeking ways to unlock the insights hidden within their vast repositories of data. As the Chief Data Officer (CDO) of “DataInsights Corp,” a leading data analytics company, you recognize the importance of harnessing the power of big data technologies. To extract valuable insights and drive data-centric strategies, you embark on a journey to analyze data in your data lake using Apache Spark.

7) Transform data using Spark in Synapse Analytics

Data engineers often use Spark notebooks as one of their preferred tools to perform extract, transform, and load (ETL) or extract, load, and transform (ELT) activities that transform data from one format or structure to another As the Chief Data Officer (CDO) of “TechSolutions Inc.,” a prominent technology firm, you recognize the importance of efficient data transformation. To address this need, you embark on a journey to transform data using Apache Spark within Azure Synapse Analytics, a powerful platform for data integration and analytics. In this exercise, you’ll use a Spark notebook in Azure Synapse Analytics to transform data in files.

8) Use Delta Lake with Spark in Azure Synapse Analytics

In the era of data-driven decision-making, companies are constantly seeking ways to improve data processing, storage, and analytics. As the Chief Data Officer (CDO) of a global financial institution named “FinTechCorp,” you face the challenge of managing vast volumes of financial data securely and efficiently. To address these needs, you decide to leverage Delta Lake with Spark within Azure Synapse Analytics, a powerful combination for modern data processing.

9) Explore a relational data warehouse

Azure Synapse Analytics is built on a scalable set capability to support enterprise data warehousing; including file-based data analytics in a data lake as well as large-scale relational data warehouses and the data transfer and transformation pipelines used to load them. As the Data Engineer of “DataTech Enterprises,” a leading data-driven company, you recognize the importance of exploring a relational data warehouse to unlock valuable insights for informed decision-making and strategic planning. In this lab, you’ll explore how to use a dedicated SQL pool in Azure Synapse Analytics to store and query data in a relational data warehouse.

10) Load Data into a Relational Data Warehouse

Extract, Load, and Transform (ELT) is a process by which data is extracted from a source system, loaded into a dedicated SQL pool, and then transformed. To centralize and manage data effectively, you initiate a project to load data into a relational data warehouse for comprehensive analytics. In this exercise, you’re going to load data into a dedicated SQL Pool.

Next Task For You

In our?Azure Data Engineer?training program, we will cover 23 Hands-On Labs.?If you want to begin your journey towards becoming a?Microsoft Certified: Azure Data Engineer Associate check out our FREE CLASS .