Azure Data Engineering Cookbook: Get well versed in various data engineering techniques in Azure using this recipe-based guide, 2nd Edition
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Author
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Packt Publishing
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.
Review
"A great resource if you're ready to dive into all the components for ingesting, working with, and forming applications for Big Data projects. The cookbook approach shows both graphical and command-line topics that you need without cluttering your time for concepts and theory."
--Buck Woody, Principal Applied Data Scientist at Microsoft
"This book avoids hype around the latest buzzwords in the data industry and simply shows you how to tackle specific challenges in the azure data ecosystem. You'll find a bunch of valuable "how to do it" solutions for different areas of the Azure data platform, such as ADLS, ADF, Azure SQL DB, Azure Databricks, and synapse.
It's not just "how to do it" but also "how it works", which gives you a better understanding of the concepts and processes happening behind the scenes."
--Nikola Ilic, Microsoft Data Platform MVP, Microsoft Certified Trainer
About the Author
Nagaraj Venkatesan works as a cloud solution architect at Microsoft. At Microsoft, he works with some of the largest companies in the world, solving their complex data engineering problems and helping them build effective solutions using cutting-edge technologies based on Azure. Nagaraj, based out of Singapore, is a popular member of the data and AI community and is a regular speaker at several international data and AI conferences. He is a two-time Microsoft Most Valuable Professional (MVP) award winner, in 2016 and 2017. Nagaraj shares his technical expertise through his blog and on his YouTube channel called DataChannel. He also holds a masters degree in computing from the National University of Singapore.
Ahmad Osama works for Pitney Bowes Pvt. Ltd. as a technical architect and is a former Microsoft Data Platform MVP. In his day job, he works on developing and maintaining high performant, on-premises and cloud SQL Server OLTP environments as well as deployment and automating tasks using PowerShell. When not working, Ahmad blogs at DataPlatformLabs and can be found glued to his Xbox.
- 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
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.
- Creating and Managing Data in Azure Data Lake
- Securing and Monitoring Data in Azure Data Lake
- Building Data Ingestion Pipelines Using Azure Data Factory
- Azure Data Factory Integration Runtime
- Configuring and Securing Azure SQL Database
- Implementing High Availability and Monitoring in Azure SQL Database
- Processing Data Using Azure Databricks
- Processing Data Using Azure Synapse Analytics
- Transforming Data Using Azure Synapse Dataflows
- Building the Serving Layer in Azure Synapse SQL Pool
- Monitoring Synapse SQL and Spark Pools
- Optimizing and Maintaining Synapse SQL and Spark Pools
- Monitoring and Maintaining Azure Data Engineering Pipelines
