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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

Introduction


SSIS packages and projects should be run on a machine that is usually called an SSIS server. In some scenarios companies decide to use the same database server as an SSIS server, and in some cases, companies decide to use a dedicated server as an SSIS server. Choosing between a dedicated SSIS server or using an existing database server as an SSIS server is a decision that requires the consideration of resource consumption for running SSIS packages, expected load, and availability of servers.

Running, or in the other words, the execution of SSIS packages and projects should be different in a production environment because production environments do not have SSDT installed in most cases. In this chapter, we will discuss and illustrate the different methods of executing a package and project.

In most cases, SSIS packages are executed on a scheduled basis, but there are some cases where an administrator or authorized user needs to run the package "on demand". SSIS packages can be...

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