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Azure Data Engineering Cookbook - Second Edition: Get well versed in various data engineering techniques in Azure using this recipe-based guide 2nd ed. Edition
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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
Key Features:
- 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
Book 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.
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
Who this book is 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.
- ISBN-101803246782
- ISBN-13978-1803246789
- Edition2nd ed.
- PublisherPackt Publishing
- Publication dateSeptember 26, 2022
- LanguageEnglish
- Dimensions9.25 x 7.5 x 1.25 inches
- Print length608 pages
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Editorial Reviews
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 master’s 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.
Product details
- Publisher : Packt Publishing; 2nd ed. edition (September 26, 2022)
- Language : English
- Paperback : 608 pages
- ISBN-10 : 1803246782
- ISBN-13 : 978-1803246789
- Item Weight : 2.29 pounds
- Dimensions : 9.25 x 7.5 x 1.25 inches
- Best Sellers Rank: #1,528,587 in Books (See Top 100 in Books)
- #327 in Data Warehousing (Books)
- #444 in Database Storage & Design
- #556 in Business Intelligence Tools
- Customer Reviews:
About the author
Nagaraj Venkatesan works as a Cloud Solution Architect at Microsoft. At Microsoft, Nagaraj 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 Data and AI community and is a regular speaker at several international Data and AI conferences. Nagaraj is a two-time Microsoft Most Valuable Professional(MVP) award winner for the years 2016 and 2017. Nagaraj shares his technical expertise through his blog(strictlysql.blogspot.com) and on his YouTube channel called “DataChannel”. Nagaraj also holds a Master’s Degree in computing from National University of Singapore.
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Embark on a Recipe-Centric Journey towards Azure Data Engineering mastery
Top reviews from the United States
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- Reviewed in the United States on August 19, 2023I'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!!
5.0 out of 5 stars Embark on a Recipe-Centric Journey towards Azure Data Engineering masteryI'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.
Reviewed in the United States on August 19, 2023
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!!
Images in this review - Reviewed in the United States on December 24, 2022I have been working with Azure for almost 10 years now, as solution architect, consultant and trainer. One of the big missing pieces in my knowledge spectrum, were data solutions. It was always one of the service domains I never really looked into. I had basic understanding of Azure SQL, Cosmos DB and new high-level about other Data-services such as DataLake, Synapse and DataBricks. During summer, I decided to look into Data a bit more, and studied for my DP-900 exam, and passed.
Continuing on the path of feeling more comfortable when talking about Azure Data Solutions, I wanted to learn more. That's where I learned about "Azure data engineering cookbook", recommended by a fellow trainer in my team, with a core focus on Data Solutions trainings.
This book is very hands-on from the start, and takes readers through all common Data Services in Azure, such as Azure Data Lake, Azure Data Factory and Azure SQL Database, focusing on security, high availability, and performance monitoring, as well as how to ingest actual data into those services.
After setting the scene around data management in the first few chapters, the book shifts to more advanced Data Scientist services using Azure Databricks, Azure Synapse Analytics, Synapse dataflows, and Synapse serverless SQL. I got nicely surprised seeing there was also a chapter dedicated to integrating these data solutions with Azure Log Analytics and the brand-new Microsoft Purview (I really need to dig into this service a lot more, but the book covers it well!).
While the book is not specifically written for it, I'm sure it is a more than valuable resource for preparing for the DP-203: Data Engineering on Microsoft Azure exam. After having gone through this book, I am actually considering scheduling that exam. However, I would need to go through several hands-on exercises again, before feeling comfortable to go and take it. But the PowerShell scripts as companion content will definitely help here.
- Reviewed in the United States on December 7, 2022Azure 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!
5.0 out of 5 stars Azure data bible for engineers Modern ELT, DevOps, and Analytics.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.
Reviewed in the United States on December 7, 2022
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!
Images in this review
Top reviews from other countries
- Anish ShahReviewed in Canada on January 7, 2023
1.0 out of 5 stars No background of data engineering in general
Directly jumps into data engineering tools from Azure without introducing the general data engineering lifecycle.
- Very informative book, contains all coneptsReviewed in India on October 22, 2024
5.0 out of 5 stars Amazing stuff
Very informative book covering all the concepts in easy manner
- Franz KiendlReviewed in Germany on January 8, 2023
5.0 out of 5 stars Well prepared examples with best practices
Well prepared examples with best practices. Gives you a good understanding which Tools and configurations can be used. A good Literature for all Starters in the Azure Development World.