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SQL Server 2017 Integration Services Cookbook

You're reading from   SQL Server 2017 Integration Services Cookbook Powerful ETL techniques to load and transform data from almost any source

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781786461827
Length 558 pages
Edition 1st Edition
Languages
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Authors (6):
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Matija Lah Matija Lah
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Matija Lah
Christo Olivier Christo Olivier
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Christo Olivier
Christian Cote Christian Cote
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Christian Cote
Dejan Sarka Dejan Sarka
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Dejan Sarka
David Peter Hansen David Peter Hansen
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David Peter Hansen
Samuel Lester Samuel Lester
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Samuel Lester
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Toc

Table of Contents (12) Chapters Close

Preface 1. SSIS Setup FREE CHAPTER 2. What Is New in SSIS 2016 3. Key Components of a Modern ETL Solution 4. Data Warehouse Loading Techniques 5. Dealing with Data Quality 6. SSIS Performance and Scalability 7. Unleash the Power of SSIS Script Task and Component 8. SSIS and Advanced Analytics 9. On-Premises and Azure Big Data Integration 10. Extending SSIS Custom Tasks and Transformations 11. Scale Out with SSIS 2017

Transferring data between Hadoop and Azure


Now that we have some data created by Hadoop Hive on-premises, we're going to transfer this data to a cloud storage on Azure. Then, we'll do several transformations to it using Hadoop Pig Latin. Once done, we'll transfer the data to an on-premises table in the staging schema of our AdventureWorksLTDW2016 database.

In this recipe, we're going to copy the data processed by the local Hortonworks cluster to an Azure Blob storage. Once the data is copied over, we can transform it using Azure compute resources, as we'll see in the following recipes.

Getting ready

This recipe assumes that you have created a storage space in Azure as described in the previous recipe.

How to do it...

  1. Open the ETL.Staging SSIS project and add a new package to it. Rename it StgAggregateSalesFromCloud.dtsx.
  2. Add a Hadoop connection manager called cmgr_Hadoop_Sandbox like we did in the previous recipe.
  3. Add another connection manager, which will connect to the Azure storage like the...
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