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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
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Giacinto Palmieri
Mr. Surendra Mettapalli Mr. Surendra Mettapalli
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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

Transformations Using Synapse Pipelines

As mentioned earlier, Azure Synapse Pipelines are just ADF pipelines implemented inside Azure Synapse Analytics. So, the transformation examples that you saw in The Transforming Options Available in ADF section apply here too. The only difference is that in Synapse Analytics, no launch page exists, so you can directly add a pipeline activity within Synapse.

Since this is the first time you are using Synapse Analytics in this book, you can create an Azure Synapse Analytics workspace from the Azure portal. Perform the following steps to create a Synapse Analytics service using the Azure portal, which may come in handy in future chapters:

  1. From the Azure portal menu, select + Create a resource, as shown in Figure 4.30:
Figure 4.30 – The image depicts the Azure portal interface, highlighting the “+ Create a resource” button for initiating new resource creation. The navigation menu on the left includes options like “Home,” “Dashboard,” and “All services,” with “FAVORITES” such as “Resource groups,” “App Services,” “Function app,” “SQL databases,” “Azure Cosmos DB,” “Virtual machines,” “load balancers,” “storage accounts,” and “virtual networks.” The top icons represent various management tools like “subscriptions,” “Microsoft Fabric,” “Microsoft Entra ID,” “cost management,” “all resources,” “help + support,” etc. The central area lists Azure services like “Azure Databricks Service,” “storage account,” “Synapse workspace,” “key vault,” “Resource group,” “Storage account,” etc. each with an icon, ready for selection and setup.

Figure 4.30 – Creating an Azure Synapse Analytics resource in the Azure portal

  1. Select Analytics, and then choose Azure Synapse Analytics, as shown in Figure 4.31:
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