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Azure Data Engineering Cookbook

Azure Data Engineering Cookbook - Second Edition

By : Nagaraj Venkatesan, Ahmad Osama
4.6 (13)
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Azure Data Engineering Cookbook

Azure Data Engineering Cookbook

4.6 (13)
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)
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Loading data into dedicated SQL pools using PolyBase and T-SQL

In this recipe, we will load a CSV file into a dedicated SQL pool using PolyBase. PolyBase technology involves creating an external table that links the SQL pool with the file(s) stored in data lake storage. Once the PolyBase table has been created, you will be able to query the external table like any other table and data will be returned from data lake storage seamlessly. This recipe will involve the following tasks:

  • Creating a dedicated Synapse SQL pool
  • Creating an external table to read CSV files
  • Loading the data read from an external table into a regular table stored in a Synapse dedicated SQL pool

Getting ready

To get started, perform the following steps:

  1. Log in to https://portal.azure.com using your Azure credentials.
  2. Create a Synapse Analytics workspace as explained in the Provisioning an Azure Synapse Analytics workspace recipe of Chapter 8, Processing Data Using Azure Synapse...
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Azure Data Engineering Cookbook
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