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Azure Data Engineering Cookbook

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

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803246789
Length 608 pages
Edition 2nd Edition
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Authors (3):
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Ahmad Osama Ahmad Osama
Author Profile Icon Ahmad Osama
Ahmad Osama
Nagaraj Venkatesan Nagaraj Venkatesan
Author Profile Icon Nagaraj Venkatesan
Nagaraj Venkatesan
Luca Zanna Luca Zanna
Author Profile Icon Luca Zanna
Luca Zanna
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Toc

Table of Contents (16) Chapters Close

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 15. Other Books You May Enjoy

Implementing an Azure SQL Database elastic pool using PowerShell

An elastic pool is a cost-effective mechanism to group single Azure SQL databases with varying peak usage times. For example, consider 20 different SQL databases with varying usage patterns, each S3 Standard storage class requiring 100 database throughput units (DTUs) to run. We need to pay for 100 DTUs separately. However, we can group all of them in an elastic pool of S3 Standard storage classes. In this case, we only need to pay for elastic pool pricing and not for each individual SQL database.

In this recipe, we’ll create an elastic pool of multiple single Azure databases.

Getting ready

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

How to do it...

The steps for this recipe are as follows:

  1. Execute the following query on an Azure SQL Server:
    #create credential object for the Azure SQL Server admin credential
    $sqladminpassword...
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