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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An Azure SQL Database has multiple purchase models and service tiers for different workloads. There are two purchasing models: DTU-based and vCore-based. There are multiple service tiers within these purchasing models.

Having multiple service tiers provides us with the flexibility to scale up or scale down based on the workload or activity in an Azure SQL database.

In this recipe, we’ll learn how to automatically scale up an Azure SQL Database whenever the CPU percentage is above 40%.

Getting ready

In a new PowerShell window, execute the Connect-AzAccount command and follow the steps to log in to your Azure account.

You will need an existing Azure SQL database for this recipe. If you don’t have one, create an Azure SQL database by following the steps mentioned in the Provisioning and connecting to an Azure SQL database using PowerShell recipe of Chapter 5, Configuring and Securing...