You're reading from Azure Data Engineer Associate Certification Guide

Product type Book

Published in Feb 2022

Publisher Packt

ISBN-13 9781801816069

Pages 574 pages

Edition 1st Edition

Languages

Concepts

Big Data

Author (1):

Newton Alex

Table of Contents (23) Chapters

Preface

1. Part 1: Azure Basics

2. Chapter 1: Introducing Azure Basics

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...