Azure Data Factory Cookbook: Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service

Dmitry Anoshin

Dmitry Foshin

Storchak

Xenia Ireton

€36.99

4.2 (13 Ratings)

Paperback Dec 2020 382 pages 1st Edition

Dmitry Anoshin

Dmitry Foshin

Storchak

Xenia Ireton

€36.99

4.2 (13 Ratings)

Paperback Dec 2020 382 pages 1st Edition

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Key benefits

Learn how to load and transform data from various sources, both on-premises and on cloud
Use Azure Data Factory’s visual environment to build and manage hybrid ETL pipelines
Discover how to prepare, transform, process, and enrich data to generate key insights

Description

Azure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure. This Azure Data Factory Cookbook helps you get up and running by showing you how to create and execute your first job in ADF. You’ll learn how to branch and chain activities, create custom activities, and schedule pipelines. This book will help you to discover the benefits of cloud data warehousing, Azure Synapse Analytics, and Azure Data Lake Gen2 Storage, which are frequently used for big data analytics. With practical recipes, you’ll learn how to actively engage with analytical tools from Azure Data Services and leverage your on-premise infrastructure with cloud-native tools to get relevant business insights. As you advance, you’ll be able to integrate the most commonly used Azure Services into ADF and understand how Azure services can be useful in designing ETL pipelines. The book will take you through the common errors that you may encounter while working with ADF and show you how to use the Azure portal to monitor pipelines. You’ll also understand error messages and resolve problems in connectors and data flows with the debugging capabilities of ADF. By the end of this book, you’ll be able to use ADF as the main ETL and orchestration tool for your data warehouse or data platform projects.

Who is this book for?

This book is for ETL developers, data warehouse and ETL architects, software professionals, and anyone who wants to learn about the common and not-so-common challenges faced while developing traditional and hybrid ETL solutions using Microsoft's Azure Data Factory. You’ll also find this book useful if you are looking for recipes to improve or enhance your existing ETL pipelines. Basic knowledge of data warehousing is expected.

What you will learn

Create an orchestration and transformation job in ADF
Develop, execute, and monitor data flows using Azure Synapse
Create big data pipelines using Azure Data Lake and ADF
Build a machine learning app with Apache Spark and ADF
Migrate on-premises SSIS jobs to ADF
Integrate ADF with commonly used Azure services such as Azure ML, Azure Logic Apps, and Azure Functions
Run big data compute jobs within HDInsight and Azure Databricks
Copy data from AWS S3 and Google Cloud Storage to Azure Storage using ADF s built-in connectors

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Amazon verified reviews

Botta Feb 09, 2021

I have read this whole book and I liked the way author approached topics . This has every basics that is required for a beginner . Starting from creating Linked Service , Datasets , Integration runtimes , triggers , data flows and pipelines . As I have gone through whole book , you would find almost every scenario based example that you would be required in the day to day job duties . It also covers all the various activities that we have in ADF today along with different types of triggers and their usages !! Just go for it . Thank you. I really liked it .

Amazon Verified review

Naga Pakalapati Jan 16, 2021

DISCLAIMER: I received this book from the publisher for review. My opinion is completely unbiased and solely from an developer/reader point of view.Overall Review: I found this book to be quite resourceful to quickly introduce you to all the important concepts around ADF with hands-on examples and scenarios. This will be very useful to someone starting new with ADF and also to those who are experienced to get familiar with new concepts and new ways to do things. (***I myself used some of the concepts to improve some of the pipelines at work**)What I like:- Neatly structured for easy reading and understanding. Exaclty how a cookbook should be.- Liked the way how technical requirements are well layed out before each chapter to make things easy.- Probably the best thing about this book is, along with covering important how-to concepts of ADF, this book also get's you familiar with ADF integration with other Azure service like Synapse, ML, Databricks, ADLS etc.- Provides links to helpful resources if you want to dig deep into the concepts introduced.What I don't like:There isn't much that is totally off with this book, but I personally felt that in places where the book says to "use this piece of code" needed better explanation on how the code works. Though every chapter has its own "How it works" section to explain what was done, additional explanation would be helpful.One other thing is, in Chapter 3 following the instructions as is may not give you straight results as expected. I had to make minor adjustments based on the errors recived (Probably this is a best way to learn for someone who likes to debug issue, but will be frustrating for those who are new or like things to work as mentioned).What I would like to see:As mentioned earlier, this book is resourceful in many ways but I would have liked to see some information on below points:- A section collating all roles and permissions with access level. (This is explained as when required in some places but a dedicated section would be more informative).- Features that are missing or not availbe out of the box (but acheivable with workarounds) in ADF compared to traditional ETL/ELT tools. This will be useful to those who are experienced in other integration/orchestration tools and trying out ADF. (Though this may not be a need to have in a cookbook but its nice to have).

AG Apr 15, 2021

Overview: This book is targeted for people with some basic understanding of data warehousing and who is looking to enhance their level of understanding in modern data warehousing tools provided by Microsoft Azure.What I like about this book: I really like how this book is laid out. There is a brief overview of the topics listed in bullet points, in the beginning of each chapter which sets your expectations on what will be covered in the upcoming pages. I also like how this book exhibits some examples before going too much in detail, which is very helpful in understanding the concepts. Whenever there is a process or concept this book is showing how to do it in four different ways: doing it in Azure, using a copy data tool, using python, PowerShell, and templates. Writers have tried their best to explain the concepts using diagrams and screenshots.This is a cookbook and hence it covers various recipes. In the first few chapters of this book, the author starts with a very basic recipe of how to create an account on Microsoft Azure, GitHub links of scripts are also provided to make the user ready to be able to execute all the steps in their MS Azure account all by themselves. Recipe of creating and executing first job in ADF, designing ETL processes, features of cloud data warehousing and Azure Synapse Analytics.As the book advances, they dive into Azure data lake concepts. Connection to Azure data lake and loading data etc. This book also provides good content on when businesses need to move data between different cloud providers including AWS and Google Cloud.This book nicely ends covering how to manage deployment processes with Azure devops. Also, how to monitor and troubleshoot data pipelines.What I disliked: If I really have to tell what is the one thing I would like to add in this book, I would say more screenshots. Other than that it’s a very well written book.

Sathishkumar Chinnadurai Jan 31, 2022

Good

Rachael F. Jul 29, 2021

Learned enough to learn about ADF and get me comfortable at work

Azure Data Factory Cookbook: Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service

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