Book Image

ETL with Azure Cookbook

By : Christian Cote, Matija Lah, Madina Saitakhmetova
Book Image

ETL with Azure Cookbook

By: Christian Cote, Matija Lah, Madina Saitakhmetova

Overview of this book

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.
Table of Contents (12 chapters)

Using SQL in Spark

Using Spark SQL to profile data is useful when we want to do basic data profiling, or we want to dig into a specific aspect of our source dataset. This recipe will teach you some techniques to get some quick and dirty data profiling reports. We will use an open dataset in CSV format, load it in the DataFrame, and use SQL to run some straightforward profiling queries.

Getting ready

This recipe uses Azure Databricks. If you are using a trial Azure subscription, you will need to upgrade it to a Pay-As-You-Go subscription. Azure Databricks requires eight cores of computing resources. The trial Azure subscription has only four computing resource cores. If you are using an Enterprise or MSDN Azure subscription, it should contain enough resources for Azure Databricks.

Start your Databricks cluster before beginning the recipe. The cluster needs to be started for the code to run.

How to do it…

Let's start our first recipe:

  1. In the web browser...