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ETL with Azure Cookbook

You're reading from  ETL with Azure Cookbook

Product type Book
Published in Sep 2020
Publisher Packt
ISBN-13 9781800203310
Pages 446 pages
Edition 1st Edition
Languages
Concepts
Authors (3):
Christian Cote Christian Cote
Profile icon Christian Cote
Matija Lah Matija Lah
Profile icon Matija Lah
Madina Saitakhmetova Madina Saitakhmetova
Profile icon Madina Saitakhmetova
View More author details
Toc

Table of Contents (12) Chapters close

Preface 1. Chapter 1: Getting Started with Azure and SSIS 2019 2. Chapter 2: Introducing ETL 3. Chapter 3: Creating and Using SQL Server 2019 Big Data Clusters 4. Chapter 4: Azure Data Integration 5. Chapter 5: Extending SSIS with Custom Tasks and Transformations 6. Chapter 6: Azure Data Factory 7. Chapter 7: Azure Databricks 8. Chapter 8: SSIS Migration Strategies 9. Chapter 9: Profiling data in Azure 10. Chapter 10: Manage SSIS and Azure Data Factory with Biml 11. Other Books You May Enjoy

Preface

Extract, Transform, Load (ETL) is one of the most common and tedious procedures for moving and processing data from one database to another. With the help of this book, you will be able to speed up the process by designing efficient ETL solutions using the Azure services available for handling and transforming any data to suit your requirements.

With this cookbook, you will become well versed in all the features of SQL Server Integration Services (SSIS) to perform data migration and ETL tasks that integrate with Azure. You will learn how to transform data in Azure and understand how legacy systems perform ETL on-premises using SSIS. Later chapters will get you up to speed with connecting and retrieving data from SQL Server 2019 Big Data Clusters, and even show you how to extend and customize the SSIS toolbox using custom-developed tasks and transformations. This ETL book also contains practical recipes for moving and transforming data with Azure services, such as Data Factory and Azure Databricks, and lets you explore various options for migrating SSIS packages to Azure. Toward the end, you will find out how to profile data in the cloud and automate package development with Business Intelligence Markup Language (BIML).

By the end of this book, you will have developed the skills you need to create and automate ETL solutions on-premises as well as in Azure.

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