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

Product type Paperback

Published in Feb 2022

Publisher Packt

ISBN-13 9781801816069

Length 574 pages

Edition 1st Edition

Tools

Azure

Concepts

Big Data

Author (1):

Newton Alex

View More author details

Table of Contents (23) Chapters

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

Triggering batches

We learned about Azure Batch in Chapter 9, Designing and Developing a Batch Processing Solution, in the Introducing Azure Batch section. In this section, we will learn how to trigger those Batch jobs using Azure Functions. Azure Functions is a serverless service provided by Azure that helps build cloud applications with minimal code, without you having to worry about hosting and maintaining the technology that runs the code. Azure takes care of all the hosting complexities such as deployments, upgrades, security patches, scaling, and more. Even though the name says serverless, it has servers running in the background. It just means that you don't have to maintain those servers – Azure does it for you.

For our requirement of triggering a Batch job, we will be using the Trigger functionality of Azure Functions. A Trigger defines when and how to invoke an Azure function. Azure Functions supports a wide variety of triggers, such as timer trigger, HTTP...