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Azure Data Engineer Associate Certification Guide

You're reading from   Azure Data Engineer Associate Certification Guide Ace the DP-203 exam with advanced data engineering skills

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781805124689
Length 548 pages
Edition 2nd Edition
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Authors (3):
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Newton Alex Newton Alex
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Newton Alex
Giacinto Palmieri Giacinto Palmieri
Author Profile Icon Giacinto Palmieri
Giacinto Palmieri
Mr. Surendra Mettapalli Mr. Surendra Mettapalli
Author Profile Icon Mr. Surendra Mettapalli
Mr. Surendra Mettapalli
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Azure Basics FREE CHAPTER
2. Chapter 1: Introducing Azure Basics 3. Part 2: Data Storage
4. Chapter 2: Implementing a Partition Strategy 5. Chapter 3: Designing and Implementing the Data Exploration Layer 6. Part 3:Data Processing
7. Chapter 4: Ingesting and Transforming Data 8. Chapter 5: Developing a Batch Processing Solution 9. Chapter 6: Developing a Stream Processing Solution 10. Chapter 7: Managing Batches and Pipelines 11. Part 4:Secure, Monitor, and Optimize Data Storage and Processing
12. Chapter 8: Implementing Data Security 13. Chapter 9: Monitoring Data Storage and Data Processing 14. Chapter 10: Optimizing and Troubleshooting Data Storage and Data Processing 15. Chapter 11: Accessing the Online Practice Resources 16. Other Books You May Enjoy

Transformation

Once your data is in a clean format and prepared for further activities such as transformations, you can run the transformation logic using services such as Spark, SQL, and Hive. In this example, as per the certification syllabus, you will use ADB Spark. But first, you need to create an ADB workspace, followed by the ADB cluster that will run the transformations, and then write the Spark code within the Cmd blocks. Perform the following steps to do so:

  1. Select Azure Databricks from the Azure portal and click +Create to create a new workspace. Figure 5.8 shows the Create an Azure Databricks workspace screen.
  2. Enter the name for the workspace beside the Workspace name option. In this case, it is DP-203-databricks-workspace. Then select an option from the Region dropdown. In this case, it is UK South.
  3. Next, select an option from the Pricing Tier dropdown. In this case, it is Standard (Apache Spark, Secure with Microsoft Entra ID) (Figure 5.8):
    Figure 5.8 – The image illustrates the Azure Databricks workspace creation screen on Microsoft Azure, displaying fields for entering “project details” such as “subscription,” “resource group,” and “instance details” including “workspace name,” “region,” and “pricing tier,” with options to review, create, or navigate to networking settings.

Figure...

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