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Azure Data Engineer Associate Certification Guide

You're reading from   Azure Data Engineer Associate Certification Guide A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam

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Product type Paperback
Published in Feb 2022
Publisher Packt
ISBN-13 9781801816069
Length 574 pages
Edition 1st Edition
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Author (1):
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Newton Alex Newton Alex
Author Profile Icon Newton Alex
Newton Alex
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Toc

Table of Contents (23) Chapters Close

Preface 1. Part 1: Azure Basics
2. Chapter 1: Introducing Azure Basics FREE CHAPTER 3. Part 2: Data Storage
4. Chapter 2: Designing a Data Storage Structure 5. Chapter 3: Designing a Partition Strategy 6. Chapter 4: Designing the Serving Layer 7. Chapter 5: Implementing Physical Data Storage Structures 8. Chapter 6: Implementing Logical Data Structures 9. Chapter 7: Implementing the Serving Layer 10. Part 3: Design and Develop Data Processing (25-30%)
11. Chapter 8: Ingesting and Transforming Data 12. Chapter 9: Designing and Developing a Batch Processing Solution 13. Chapter 10: Designing and Developing a Stream Processing Solution 14. Chapter 11: Managing Batches and Pipelines 15. Part 4: Design and Implement Data Security (10-15%)
16. Chapter 12: Designing Security for Data Policies and Standards 17. Part 5: Monitor and Optimize Data Storage and Data Processing (10-15%)
18. Chapter 13: Monitoring Data Storage and Data Processing 19. Chapter 14: Optimizing and Troubleshooting Data Storage and Data Processing 20. Part 6: Practice Exercises
21. Chapter 15: Sample Questions with Solutions 22. Other Books You May Enjoy

Scheduling data pipelines in Data Factory/Synapse pipelines

Scheduling pipelines refers to the process of defining when and how a pipeline needs to be started. The process is the same between ADF and Synapse pipelines. ADF and Synapse pipelines have a button named Add Trigger in the Pipelines tab that can be used to schedule the pipelines, as shown in the following screenshot:

Figure 11.7 – Adding a trigger from ADF/Synapse pipelines

The following screenshot shows the details that are required to configure a Schedule trigger:

Figure 11.8 – Defining the trigger in ADF

ADF and Synapse pipeline services support four types of triggers:

  • Schedule trigger: This triggers a pipeline once or regularly based on the wall clock time.
  • Tumbling window trigger: This triggers a pipeline based on periodic intervals while maintaining state; that is, the trigger understands which window of data was processed last and restarts...
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