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Azure Data Engineering Cookbook
Azure Data Engineering Cookbook

Azure Data Engineering Cookbook: Get well versed in various data engineering techniques in Azure using this recipe-based guide , Second Edition

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Profile Icon Nagaraj Venkatesan Profile Icon Ahmad Osama
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$41.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (13 Ratings)
eBook Sep 2022 608 pages 2nd Edition
eBook
$41.99
Paperback
$51.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Nagaraj Venkatesan Profile Icon Ahmad Osama
Arrow right icon
$41.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (13 Ratings)
eBook Sep 2022 608 pages 2nd Edition
eBook
$41.99
Paperback
$51.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$41.99
Paperback
$51.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Build data pipelines from scratch and find solutions to common data engineering problems
  • Learn how to work with Azure Data Factory, Data Lake, Databricks, and Synapse Analytics
  • Monitor and maintain your data engineering pipelines using Log Analytics, Azure Monitor, and Azure Purview

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.

Who is this book for?

This book is for data engineers, data architects, database administrators, and data professionals who want to get well versed with the Azure data services for building data pipelines. Basic understanding of cloud and data engineering concepts will help in getting the most out of this book.

What you will learn

  • 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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 26, 2022
Length: 608 pages
Edition : 2nd
Language : English
ISBN-13 : 9781803235004
Vendor :
Microsoft
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What do you get with eBook?

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Product Details

Publication date : Sep 26, 2022
Length: 608 pages
Edition : 2nd
Language : English
ISBN-13 : 9781803235004
Vendor :
Microsoft
Category :
Concepts :

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Frequently bought together


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Azure for Developers
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Azure Data Engineering Cookbook
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Full star icon Full star icon Full star icon Full star icon Half star icon 4.6
(13 Ratings)
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Ayman Dec 13, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is very similar to a cookbook indeed. You look up the "recipe" for what you're trying to accomplish in Azure regarding Data Engineering workloads and you'll find the step by step instructions. This book is not meant to be exhaustive on theory but rather how to implement solutions. It's on my shelf as a quick reference and review for something I need to get done. Many of the examples are both shown through the portal and via some sort of code (PowerShell, SQLCMD, KQL, etc). It's a great way to learn how to do the tasks multiple ways. If you're looking to get hands on and practice Data Engineering tasks and setup for the supporting environment in Azure, this is a great reference.
Amazon Verified review Amazon
Gregory Smith Aug 19, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I've been meaning to write this book review for a while now – I got my hands on this book about five months back. To sum it up, going through the recipe examples has been a really enjoyable experience.For those of you aiming to rock the "Exam DP-203: Data Engineering on Microsoft Azure" and also wanting to get a good grip on exploring data, as well as setting up and managing secure and compliant data processing pipelines using all sorts of tools and tricks, this book is like your trusty sidekick. It'll help you build that strong foundation you need for the tough exam!"Azure Data Engineering Cookbook" is strategically tailored to cater to a diverse audience, ranging from database administrators, developers, to ETL practitioners. Through a pragmatic and recipe-centered approach, the book delves deep into the realm of Azure Data Engineering. Those versed in technical and database architecture, with a background in crafting data and ETL solutions within diverse environments including on-premise and other cloud platforms, will discover valuable insights within these pages.Just a heads-up, though: they assume you've got the basics of Azure and data engineering down, so you can dive right into the deep end of Azure Data Engineering without any hiccups.Grab a copy today!!
Amazon Verified review Amazon
Om S Dec 07, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Azure data engineering cookbook is a very practical book updated as the second edition that covers many dimensions of azure the data engineering process so called "reader with recipes" or hands-on chapters one step after another by beginning with Azure Data Lake and covering data ingestion using Azure Data Factory into Azure Data Lake and Azure SQL Database, management of common storage layers such as Azure Data Lake and Azure SQL Database, focusing on topics such as security, high availability, and performance monitoring.The center of the book is on data processing using Azure Databricks, Azure Synapse Analytics Spark pools, Synapse dataflows, and data exploration using Synapse serverless SQL pools this also focuses on the consumption of the data using Synapse dedicated SQL pool and Synapse Spark lake databases, covering the tips and tricks to optimize and maintain Synapse dedicated SQL pool databases and lake databases. Eventually, the bibliophile also has a reward chapter on managing the overall data engineering pipeline, which covers pipeline monitoring using Azure Log Analytics and following data lineage using Microsoft Purview.The book contains many helpful PowerShell scripts/Codes and distinctive screenshots, best way to get the most out of this is to go through one chapter at a time but even before that download code and files it starts from "Chapter04".For those who want to pass "Exam DP-203: Data Engineering on Microsoft Azure" and want to understand the data through exploration, build and maintain secure and compliant data processing pipelines by using different tools and techniques this book is their best friend. Make your foundation for the tough exam!
Amazon Verified review Amazon
Sapna Kaant Oct 22, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Simply put, this book demonstrates how to address certain issues in the Azure data environment. For various components of the Azure data platform, such as ADLS, ADF, Azure SQL DB, Azure #databricks, and #synapse, you can find a tonne of helpful "how to do it" guides online.
Amazon Verified review Amazon
Very informative book, contains all conepts Oct 22, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Very informative book covering all the concepts in easy manner
Amazon Verified review Amazon
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