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)

Configuring partitions to optimize data flows

Data flows, by default, create partitions behind the scenes to make transformation activities such as join, filter, and sort run faster. Partitions split the large data into multiple smaller pieces so that the backend processes in the data flows can divide and conquer their tasks and finish the execution quickly.

In this recipe, we will take a slow-running data flow and adjust the partitioning to reduce the execution time.

Getting ready

Create a Synapse Analytics workspace as explained in the Provisioning an Azure Synapse Analytics workspace recipe.

Complete the Performing data transformation using activities such as join, sort, and filter and Monitoring data flows and pipelines recipes in this chapter.

How to do it…

Perform the following steps to optimize data flows:

  1. Log in to portal.azure.com, go to All resources, and search for packtadesynapse. Click on the workspace. Click Open Synapse Studio. Click...