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Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

You're reading from   Microsoft SQL Server 2012 Integration Services: An Expert Cookbook Over 80 expert recipes to design, create, and deploy SSIS packages with this book and ebook

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Product type Paperback
Published in May 2012
Publisher Packt
ISBN-13 9781849685245
Length 564 pages
Edition 1st Edition
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Table of Contents (23) Chapters Close

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with SQL Server Integration Services 2. Control Flow Tasks FREE CHAPTER 3. Data Flow Task Part 1—Extract and Load 4. Data Flow Task Part 2—Transformations 5. Data Flow Task Part 3—Advanced Transformation 6. Variables, Expressions, and Dynamism in SSIS 7. Containers and Precedence Constraints 8. Scripting 9. Deployment 10. Debugging, Troubleshooting, and Migrating Packages to 2012 11. Event Handling and Logging 12. Execution 13. Restartability and Robustness 14. Programming SSIS 15. Performance Boost in SSIS Index

Conditional Split: dividing the data stream based on conditions


This recipe demonstrates the use of the Condition Split component, which is one of the most used components and is responsible for splitting data into several destinations. It's applied when data in a specific stage of the pipeline needs to follow a different path based on logical conditions. At a later stage all the data divided could be joined again using the Union All or even the Merge transformation referred in a later recipe in this chapter.

Getting ready

To get ready for this recipe, use the following steps:

  1. Open SQL Server SQL Server Data Tools (SSDT) and create a new SSIS project.

  2. Provide a name and location for the SSIS project and then proceed.

  3. Select the package created by default and rename it to P01_ConditionalSplit.dtsx.

How to do it...

In a Data Warehousing scenario, this component is not only very useful in order to apply business rules to the data extracted from sources, but also to apply some data quality validations...

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