Hands-On-Data-Warehousing-with-Azure-Data-Factory

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Hands-On-Data-Warehousing-with-Azure-Data-Factory

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Hands-On Data Warehousing with Azure Data Factory, published by Packt

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# Hands-On Data Warehousing with Azure Data Factory
This is the code repository for [Hands-On Data Warehousing with Azure Data Factory](https://www.packtpub.com/big-data-and-business-intelligence/hands-data-warehousing-azure-data-factory?utm_source=github&utm_medium=repository&utm_campaign=9781789137620), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the book from start to finish.
## About the Book
ETL is one of the essential techniques in data processing. Given data is everywhere, ETL will always be the vital process to handle data from different sources.

Hands-On Data Warehousing with Azure Data Factory starts with the basic concepts of data warehousing and ETL process. You will learn how Azure Data Factory and SSIS can be used to understand the key components of an ETL solution. You will go through different services offered by Azure that can be used by ADF and SSIS, such as Azure Data Lake Analytics, Machine Learning and Databrick’s Spark with the help of practical examples. You will explore how to design and implement ETL hybrid solutions using different integration services with a step-by-step approach. Once you get to grips with all this, you will use Power BI to interact with data coming from different sources in order to reveal valuable insights.

## Instructions and Navigation
All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.

The code will look like the following:
```
SELECT [CustomerID]
 ,[CustomerName]
 ,[CustomerCategoryName]
 ,[PrimaryContact]
 ,[AlternateContact]
 ,[PhoneNumber]
 ,[FaxNumber]
 ,[BuyingGroupName]
```

* Azure subscription. If you don't have a subscription, you can create a free trial
account in just a couple of minutes at http://azure.microsoft.com/pricing/free-trial/.
* Azure storage account. You use the blob storage as a source data store in this
tutorial. If you don't have an Azure storage account, see the how create a storage
account at https://docs.microsoft.com/en-us/azure/storage/common/storage-create-storage-account#create-a-storage-account.
* Azure SQL database. You'll use an Azure SQL database as a destination data
store in this tutorial. If you don't have an Azure SQL database that you can use in
the tutorial, see how to create and configure an Azure SQL database to create one
at https://docs.microsoft.com/en-us/azure/sql-database/sql-databaseget-started.
* SQL Server 2017 Developer Edition, SQL Server Management Studio or Visual
Studio 2015 or 2017. You can use SQL Server 2017 Developer Editon, SQL Server
Management Studio or Visual Studio to create a sample database and to view the
result data in the database.

## Related Products
* [Hands-On Data Science with SQL Server 2017](https://www.packtpub.com/big-data-and-business-intelligence/hands-data-science-sql-server-2017?utm_source=github&utm_medium=repository&utm_campaign=9781788996341)

* [Hands-On Data Science with Command Line](https://www.packtpub.com/big-data-and-business-intelligence/hands-data-science-command-line?utm_source=github&utm_medium=repository&utm_campaign=9781789132984)

* [Hands-On Data Science with Anaconda](https://www.packtpub.com/big-data-and-business-intelligence/hands-data-science-anaconda?utm_source=github&utm_medium=repository&utm_campaign=9781788831192)

### Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost. Simply click on the link to claim your free PDF.
 <a href="https://packt.link/free-ebook/9781789137620">https://packt.link/free-ebook/9781789137620 </a>

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