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Azure Data Engineering Cookbook
Azure Data Engineering Cookbook

Azure Data Engineering Cookbook: Design and implement batch and streaming analytics using Azure Cloud Services

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Profile Icon Ahmad Osama Profile Icon Nagaraj Venkatesan
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Full star icon Full star icon Full star icon Full star icon Half star icon 4.2 (12 Ratings)
Paperback Apr 2021 454 pages 1st Edition
eBook
zł59.99 zł158.99
Paperback
zł197.99
Subscription
Free Trial
Arrow left icon
Profile Icon Ahmad Osama Profile Icon Nagaraj Venkatesan
Arrow right icon
Free Trial
Full star icon Full star icon Full star icon Full star icon Half star icon 4.2 (12 Ratings)
Paperback Apr 2021 454 pages 1st Edition
eBook
zł59.99 zł158.99
Paperback
zł197.99
Subscription
Free Trial
eBook
zł59.99 zł158.99
Paperback
zł197.99
Subscription
Free Trial

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Azure Data Engineering Cookbook

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Key benefits

  • Build highly efficient ETL pipelines using the Microsoft Azure Data services
  • Create and execute real-time processing solutions using Azure Databricks, Azure Stream Analytics, and Azure Data Explorer
  • Design and execute batch processing solutions using Azure Data Factory

Description

Data engineering is one of the faster growing job areas as Data Engineers are the ones who ensure that the data is extracted, provisioned and the data is of the highest quality for data analysis. This book uses various Azure services to implement and maintain infrastructure to extract data from multiple sources, and then transform and load it for data analysis. It takes you through different techniques for performing big data engineering using Microsoft Azure Data services. It begins by showing you how Azure Blob storage can be used for storing large amounts of unstructured data and how to use it for orchestrating a data workflow. You'll then work with different Cosmos DB APIs and Azure SQL Database. Moving on, you'll discover how to provision an Azure Synapse database and find out how to ingest and analyze data in Azure Synapse. As you advance, you'll cover the design and implementation of batch processing solutions using Azure Data Factory, and understand how to manage, maintain, and secure Azure Data Factory pipelines. You’ll also design and implement batch processing solutions using Azure Databricks and then manage and secure Azure Databricks clusters and jobs. In the concluding chapters, you'll learn how to process streaming data using Azure Stream Analytics and Data Explorer. By the end of this Azure book, you'll have gained the knowledge you need to be able to orchestrate batch and real-time ETL workflows in Microsoft Azure.

Who is this book for?

This book is for Data Engineers, Database administrators, Database developers, and extract, load, transform (ETL) developers looking to build expertise in Azure Data engineering using a recipe-based approach. Technical architects and database architects with experience in designing data or ETL applications either on-premise or on any other cloud vendor who wants to learn Azure Data engineering concepts will also find this book useful. Prior knowledge of Azure fundamentals and data engineering concepts is needed.

What you will learn

  • Use Azure Blob storage for storing large amounts of unstructured data
  • Perform CRUD operations on the Cosmos Table API
  • Implement elastic pools and business continuity with Azure SQL Database
  • Ingest and analyze data using Azure Synapse Analytics
  • Develop Data Factory data flows to extract data from multiple sources
  • Manage, maintain, and secure Azure Data Factory pipelines
  • Process streaming data using Azure Stream Analytics and Data Explorer

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 05, 2021
Length: 454 pages
Edition : 1st
Language : English
ISBN-13 : 9781800206557
Vendor :
Microsoft
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Product Details

Publication date : Apr 05, 2021
Length: 454 pages
Edition : 1st
Language : English
ISBN-13 : 9781800206557
Vendor :
Microsoft
Category :
Languages :
Tools :

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Frequently bought together


Stars icon
Total 617.97
Azure Data Engineering Cookbook
zł197.99
Azure Databricks Cookbook
zł221.99
Azure Data Factory Cookbook
zł197.99
Total 617.97 Stars icon

Table of Contents

10 Chapters
Chapter 1: Working with Azure Blob Storage Chevron down icon Chevron up icon
Chapter 2: Working with Relational Databases in Azure Chevron down icon Chevron up icon
Chapter 3: Analyzing Data with Azure Synapse Analytics Chevron down icon Chevron up icon
Chapter 4: Control Flow Activities in Azure Data Factory Chevron down icon Chevron up icon
Chapter 5: Control Flow Transformation and the Copy Data Activity in Azure Data Factory Chevron down icon Chevron up icon
Chapter 6: Data Flows in Azure Data Factory Chevron down icon Chevron up icon
Chapter 7: Azure Data Factory Integration Runtime Chevron down icon Chevron up icon
Chapter 8: Deploying Azure Data Factory Pipelines Chevron down icon Chevron up icon
Chapter 9: Batch and Streaming Data Processing with Azure Databricks Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.2
(12 Ratings)
5 star 41.7%
4 star 41.7%
3 star 8.3%
2 star 8.3%
1 star 0%
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Top Reviews

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Carles G. May 20, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Data Engineering is not something I was really interested in but to become an Azure architect someday, it is a must. Relational databases, storage accounts, Azure Synapse Analytics, Data Factory and some other applications are very well explained in this book. I like the structure of the book where from the beginning you start building some examples using the different ways that can be used in the following chapters and help to understand the concepts easily.Some examples and some parts of the book can be obviously found in the MS Documentation but I would have loved to have the Chapter 7 when I had to migrate SQL Integration Services to Azure. I would have saved many hours of reading! I feel like it has what I needed that day.You will need some Azure experience to understand better some concepts but to start with data engineering on Azure it is a good book.
Amazon Verified review Amazon
Amazon Customer Jun 27, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The format of this book is its strongest point. Its approach of breaking each knowledge area down into getting ready, how do do it and how it works is the key selling point and value in this book and sets it out apart from others that attempt to cover the same ground. Doing and understanding what you are doing are two different things, and why you are doing something is the real value than just doing .. a book that just has the step by step what to click with the explanation or understanding or vice versa a book that is purely theory and concepts can never hope to achieve the same impact. For this reason this book has real impact in the ability for someone to have real world job skills that would be valuable after using this book and will have continued value as its not just a book that you read once, understand the theory and then put down again; as it says its practical recipes and each time you come across a scenario that needs a solution, the recipe list in this book as it were is a great place to look of how to do something.
Amazon Verified review Amazon
SWABLE Apr 22, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book will be extremely useful for anyone who wants to implement Data Engineering in a very robust and step by step manner. The author has explained all the concepts very deeply and the content is pretty much relevant and up-to date.
Amazon Verified review Amazon
roog Jun 24, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book was amazing and very rich with helpful guidelines
Amazon Verified review Amazon
Amanpreet K. Oct 13, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Really good descriptive book ….
Amazon Verified review Amazon
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