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Hands-On Data Warehousing with Azure Data Factory

You're reading from   Hands-On Data Warehousing with Azure Data Factory ETL techniques to load and transform data from various sources, both on-premises and on cloud

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781789137620
Length 284 pages
Edition 1st Edition
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Authors (3):
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Christian Cote Christian Cote
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Christian Cote
Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
Michelle Gutzait Michelle Gutzait
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Michelle Gutzait
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Introduction to Azure Databricks

So far in this book, we have seen that ETL can be done on-premises with an existing SSIS implementation. For cloud ETL, we used Azure Data Lake Analytics (ADLA). Sparks is one of the other major players when it comes to data integration on the cloud. Databricks is Sparks' latest addition in Azure services at the time of writing this book. It is meant to be simple to set up and use while delivering fast performance in a production environment.

In this chapter, we'll see how ADF can trigger a Databricks notebook run. Later in this book, we'll show how we can integrate this data into a Power BI report. This chapter introduces only the simple Databricks integration in ADF.

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