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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

Creating Tests for Data Pipelines

You have now created your ADF or Synapse pipeline. You have seen many examples in ADF, which were explained in the Creating Data Pipelines section of this chapter. Now you need to run the pipeline by assigning a trigger to it.

Note

This section primarily focuses on the Create tests for data pipelines concept of the DP-203: Data Engineering on Microsoft Azure exam.

If you want to test its execution, you can choose the Trigger now option, which will result in an immediate execution of the pipeline. At that point, you can switch to the Monitor hub, where you can see the status of your pipeline and check whether it is running or completed and, in the latter case, how long it took and whether it completed successfully or failed with an error.

Note

You will find a reference to the testing process for data pipelines in Chapter 6, Developing a Stream Processing Solution, within the section titled Developing Testing Processes for Data Pipelines...

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