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» » » ETL with Azure Cookbook: Practical recipes for building modern ETL solutions to load and transform data from any source

ETL with Azure Cookbook: Practical recipes for building modern ETL solutions to load and transform data from any source

ETL with Azure Cookbook: Practical recipes for building modern ETL solutions to load and transform data from any source

English | 2020 | ISBN-13 : 978-1800203310 | 446 Pages | True (EPUB, MOBI) + Code | 82.26 MB

Explore the latest Azure ETL techniques both on-premises and in the cloud using Azure services such as SSIS, Azure Data Factory, and Azure Databricks
Key Features

Understand the key components of an ETL solution using Azure Integration Services
Discover the common and not-so-common challenges faced while creating modern and scalable ETL solutions
Program and extend your packages to develop efficient data integration and data transformation solutions

Book Description

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 get well-versed with all the new features of SQL Server Integration Services (SSIS) to perform data migration and ETL tasks and cover key challenges faced while creating modern and scalable ETL solutions. You'll learn how to transform data in Azure and understand how legacy systems perform ETL on-premises using SSIS. You'll get to grips with connecting and retrieving data from SQL Server 2019 Big Data Clusters and discover how you can 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 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 achieve it in Azure Databricks
Get to grips with BIML and how it applies to SSIS and Azure Data Factory solutions

Who This Book Is For

This book is for data warehouse architects, ETL developers, and anyone who wants to build scalable ETL applications in Azure. It is also relevant for those looking to extend their existing on-premises ETL applications to use big data and a variety of Azure services. If you want to migrate your existing on-premises solutions to the Azure cloud platform, you'll find this book useful. Familiarity with SQL Server services is necessary.

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