Azure Data Engineering Cookbook, Second Edition

Azure Data Engineering Cookbook, 2nd Edition

eBook Details:

  • Paperback: 608 pages
  • Publisher: WOW! eBook; 2nd edition (September 26, 2022)
  • Language:¬†English
  • ISBN-10: 1803246782
  • ISBN-13: 978-1803246789

eBook Description:

Azure Data Engineering Cookbook, 2nd Edition: Nearly 80 recipes to help you collect and transform data from multiple sources into a single data source, making it way easier to perform analytics on the data

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 Azure Data Engineering Cookbook, 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.

  • Process data using Azure Databricks and Azure Synapse Analytics
  • Perform data transformation using Azure Synapse data flows
  • Perform common administrative tasks in Azure SQL Database
  • Build effective Synapse SQL pools which can be consumed by Power BI
  • Monitor Synapse SQL and Spark pools using Log Analytics
  • Track data lineage using Microsoft Purview integration with pipelines

By the end of this Azure Data Engineering Cookbook, 2nd Edition book, you’ll be able to build superior data engineering pipelines along with having an invaluable go-to guide.

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