Book Image

Azure Data Engineering Cookbook - Second Edition

By : Nagaraj Venkatesan, Ahmad Osama
Book Image

Azure Data Engineering Cookbook - Second Edition

By: Nagaraj Venkatesan, Ahmad Osama

Overview of this book

The famous quote 'Data is the new oil' seems more true every day as the key to most organizations' long-term success lies in extracting insights from raw data. One of the major challenges organizations face in leveraging value out of data is building performant data engineering pipelines for data visualization, ingestion, storage, and processing. This second edition of the immensely successful book by Ahmad Osama brings to you several recent enhancements in Azure data engineering and shares approximately 80 useful recipes covering common scenarios in building data engineering pipelines in Microsoft Azure. You’ll explore recipes from Azure Synapse Analytics workspaces Gen 2 and get to grips with Synapse Spark pools, SQL Serverless pools, Synapse integration pipelines, and Synapse data flows. You’ll also understand Synapse SQL Pool optimization techniques in this second edition. Besides Synapse enhancements, you’ll discover helpful tips on managing Azure SQL Database and learn about security, high availability, and performance monitoring. Finally, the book takes you through overall data engineering pipeline management, focusing on monitoring using Log Analytics and tracking data lineage using Azure Purview. By the end of this book, you’ll be able to build superior data engineering pipelines along with having an invaluable go-to guide.
Table of Contents (16 chapters)

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...