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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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Parameterizing Synapse data flows

Adding parameters to data flows provides flexibility and agility for data flows while performing their transformations. In this recipe, we will create a data flow that accepts a parameter, filters the data based on the value passed in the parameter, and copies the data to Parquet files.

Getting ready

Create a Synapse Analytics workspace as explained in the Provisioning an Azure Synapse Analytics workspace recipe in Chapter 8, Processing Data Using Azure Synapse Analytics.

Complete the Copying data using a Synapse data flow recipe in this chapter to create the Copy_CSV_to_Parquet data flow..

How to do it…

In this recipe, we will add a parameter to the Copy_CSV_to_Parquet dataflow (which was created in the Copying data using a Synapse data flow recipe), and make the Copy_CSV_to_Parquet data flow copy selective rows based on the value passed to the parameter by the Copy_Data_Flow pipeline (created in the Copying data using a Synapse...

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