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

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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

Chapter 13: Monitoring Data Storage and Data Processing

Welcome to the next chapter. We are now in the final leg of our certification training. This is the last section of the certification: Monitoring and Optimizing Data Storage and Data Processing. This section contains two chapters—the current one, Monitoring Data Storage and Data Processing, and the next chapter, Optimizing and Troubleshooting Data Storage and Data Processing. As this chapter's title suggests, we will be focusing on the monitoring aspect of data storage and pipelines. Once you complete this chapter, you should be able to set up monitoring for any of your Azure data services, set up custom logs, process logs using tools such as Azure Log Analytics, and understand how to read Spark directed acyclic graphs (DAGs). As with the previous chapters, I've taken the liberty of reordering the topic sequence to make reading more comfortable, without too many context switches.

In this chapter, we will cover...