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)

Querying the data in a lake database from serverless SQL pool

Lake databases are created from Synapse Spark pools and typically consist of Delta tables. The following recipe will showcase how we could read the data stored in Delta tables from serverless SQL pool.

Getting ready

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

Create a Spark pool, as explained in the Provisioning and configuring Spark pools recipe in this chapter.

Create a lake database and Delta table, as explained in the Processing data using Spark pools and lake database recipe in this chapter.

How to do it…

Perform the following steps to query the data:

  1. Log in to portal.azure.com, click All Resources, search for packtadesynapse, the Synapse Analytics workspace that we created, and click on it. Click Open Synapse Studio. Click on the data icon on the left, click the Linked tab, and expand the Azure Data...