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

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You have surely heard the terms OLAP and OLTP if you have been working in the data domain. Cloud data systems can be broadly classified as either Online Transaction Processing (OLTP) or Online Analytical Processing (OLAP) systems. Let's understand each of these at a high level.

OLTP systems

OLTP systems, as the name suggests, are built to efficiently process, store, and query transactions. They usually have transaction data flowing into a central ACID-compliant database. The databases contain normalized data that adheres to strict schemas. The data sizes are usually smaller, in the range of gigabytes or terabytes. Predominantly RDBMS-based systems, such as Azure SQL and MySQL, are used for the main database.

OLAP systems

On the other hand, OLAP systems are usually big data systems that typically have a warehouse or key value-based store as the central technology to perform analytical processing. The tasks...