ETL with Azure Cookbook:Practical recipes for building modern ETL solutions to load and transform data from any source
Release Finelybook 出版日期：2020
Publisher Finelybook 出版社：Packt Publishing
Explore the latest Azure ETL techniques both on-premises and in the cloud using Azure services such as SQL Server Integration Services (SSIS), Azure Data Factory, and Azure Databricks
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 effective ETL solutions using the Azure services available for handling and transforming any data to suit your requirements.
With this cookbook, you’ll 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’ll 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 transforms. 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’ll find out how to profile data in the cloud and automate service creation with Business Intelligence Markup Language (BIML).
By the end of this book, you’ll have developed the skills you need to create and automate ETL solutions on-premises as well as in Azure.
What you will learn
Explore ETL and how it is different from ELT
Move and transform various data sources with Azure ETL and ELT services
Use SSIS 2019 with Azure HDInsight clusters
Discover how to query SQL Server 2019 Big Data Clusters hosted in Azure
Migrate SSIS solutions to Azure and solve key challenges associated with it
Understand why data profiling is crucial and how to implement it in Azure Databricks
Get to grips with BIML and learn how it applies to SSIS and Azure Data Factory solutions