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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

SSIS projects

This section will now focus on the SSIS projects that move the data from various locations. There are several SSIS projects in the solution:

  • ETL.Staging: This contains SSIS packages that transfer data from AdventreWorksLT to the Staging schema in AdventureWorksLTDW2016
  • ETL.DW: This contains packages that transfer and transform data from the Staging schema to the DW schema in AdventureWorksLTDW2016

We'll have recipes in this section that will explain how the packages are structured and how we'll deploy and run them to load data from the source database to the data warehouse.

There are two types of SSIS packages in the projects:

  • Entry-point packages: These packages orchestrate the Extract, Transform, and Load (ETL) flow of the solution. It's in these packages that other packages call and in what order they are called. In the solution, there's...
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