Azure data engineering cookbook

Book Cover
Average Rating
Author
Venkatesan, Nagaraj,
Published
Birmingham, UK : Packt Publishing Ltd., 2022.
Status
Available Online

Description

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.

More Details

Format
Edition
Second edition.
Language
English

Notes

General Note
Includes index.
Description
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.
Local note
O'Reilly O'Reilly Online Learning: Academic/Public Library Edition

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Citations

APA Citation, 7th Edition (style guide)

Venkatesan, N., & Osama, A. (2022). Azure data engineering cookbook (Second edition.). Packt Publishing Ltd..

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Venkatesan, Nagaraj and Ahmad, Osama. 2022. Azure Data Engineering Cookbook. Birmingham, UK: Packt Publishing Ltd.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Venkatesan, Nagaraj and Ahmad, Osama. Azure Data Engineering Cookbook Birmingham, UK: Packt Publishing Ltd, 2022.

Harvard Citation (style guide)

Venkatesan, N. and Osama, A. (2022). Azure data engineering cookbook. Second edn. Birmingham, UK: Packt Publishing Ltd.

MLA Citation, 9th Edition (style guide)

Venkatesan, Nagaraj,, and Ahmad Osama. Azure Data Engineering Cookbook Second edition., Packt Publishing Ltd., 2022.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID
09db4a9a-1a70-24ff-6e9b-123ed0181f2d-eng
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Grouping Information

Grouped Work ID09db4a9a-1a70-24ff-6e9b-123ed0181f2d-eng
Full titleazure data engineering cookbook
Authorvenkatesan nagaraj
Grouping Categorybook
Last Update2025-05-19 03:28:19AM
Last Indexed2025-05-22 03:02:12AM

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Last UsedMay 7, 2025

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