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

View More author details

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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Configuring high availability to the Hyperscale tier of Azure SQL Database

Azure SQL Database in the Hyperscale tier supports databases with up to 100 TB of storage size, compared to the 4 TB offered in the General Purpose and Business Critical tiers. In addition to supporting large databases, the Hyperscale tier offers high-availability capabilities too, with the three following types of replica:

Geo-replica: Allows the creation of asynchronous replicas in the same or a different region, allowing users to have a read-only copy of the database
High-availability replica: Acts as a hot standby server, offering automatic failover
Named replica: Allows the creation of replicas with a different database name from the primary database, mainly used for supporting read scale-out scenarios

Both high-availability and named replicas are configured on synchronous mode, and can be created in the same location as a primary database.

In this recipe, we will configure...