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

Chapter 4: Designing the Serving Layer

In this chapter, we will be learning about the techniques and technologies involved in designing a data serving layer. As we have seen previously in the data lake design, data passes through several zones. It starts from a Landing Zone, from where it gets processed into more useful formats in the Transformation Zone, and finally, the derived data insights land in the Serving Zone (also called the Serving layer). The Serving Zone serves the processed data and insights to the end users. The Landing Zone and Transformation Zone of a data lake focus on aspects such as efficient storage of data, processing huge volumes of data, optimizing queries, and so on. The Serving layer, on the other hand, focuses mainly on how to serve the data in a fast and efficient way to the business intelligence (BI) tools.

Serving layers are usually built using relational data stores (Structured Query Language (SQL)-based stores). This is done for two reasons: relational...