You're reading from Azure Data Engineering Cookbook Get well versed in various data engineering techniques in Azure using this recipe-based guide

Product type Paperback

Published in Sep 2022

Publisher Packt

ISBN-13 9781803246789

Length 608 pages

Edition 2nd Edition

Languages

SQL

Tools

Azure

Concepts

Data Engineering

Authors (3):

Ahmad Osama

Nagaraj Venkatesan

Luca Zanna

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Table of Contents (16) Chapters

Preface

1. Chapter 1: Creating and Managing Data in Azure Data Lake

2. Chapter 2: Securing and Monitoring Data in Azure Data Lake FREE CHAPTER

3. Chapter 3: Building Data Ingestion Pipelines Using Azure Data Factory

4. Chapter 4: Azure Data Factory Integration Runtime

5. Chapter 5: Configuring and Securing Azure SQL Database

6. Chapter 6: Implementing High Availability and Monitoring in Azure SQL Database

7. Chapter 7: Processing Data Using Azure Databricks

8. Chapter 8: Processing Data Using Azure Synapse Analytics

9. Chapter 9: Transforming Data Using Azure Synapse Dataflows

10. Chapter 10: Building the Serving Layer in Azure Synapse SQL Pool

11. Chapter 11: Monitoring Synapse SQL and Spark Pools

12. Chapter 12: Optimizing and Maintaining Synapse SQL and Spark Pools

13. Chapter 13: Monitoring and Maintaining Azure Data Engineering Pipelines

14. Index

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Implementing High Availability and Monitoring in Azure SQL Database

Azure SQL Database, a fundamental relational database as a service offering in Azure acts as a source, destination, or even an intermediate storage layer in data engineering pipelines. Azure SQL Database can be used to consolidate data coming from several relational data sources and build mini data warehouses or data marts. Keeping Azure SQL Database in good health and available at all times is of the utmost importance to any organization. In this chapter, we will explore recipes that will help us monitor the health of a database and ensure database availability. By the end of the chapter, you will have learned how to configure replication, an auto-failover group, auditing, monitoring for Azure SQL Database, and high availability for the Hyperscale tier of Azure SQL Database. This chapter has the following recipes: