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Book Cover
E-book
Author Leonard, Andy

Title Data integration life cycle management with SSIS : a short introduction by example / by Andy Leonard
Published Berkeley, CA : Apress, [2018]

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Description 1 online resource (188 pages)
Contents 1. Introduction to DIML -- 2. SSIS -- 3. Source Control -- 4. Deploy to the SSIS Catalog -- 5. Configure the SSIS Catalog Project -- 6. Catalog Browser -- 7. SSIS Catalog Compare -- 8. SSIS Framework Community Edition -- 9. Catalog Reports -- 10. BimlExpress Metadata Framework -- 11. Conclusion -- 12. Appendix A: Links
Summary Annotation Build a custom BimlExpress framework that generates dozens of SQL Server Integration Services (SSIS) packages in minutes. Use this framework to execute related SSIS packages in a single command. You will learn to configure SSIS catalog projects, manage catalog deployments, and monitor SSIS catalog execution and history. Data Integration Life Cycle Management with SSIS shows you how to bring DevOps benefits to SSIS integration projects. Practices in this book enable faster time to market, higher quality of code, and repeatable automation. Code will be created that is easier to support and maintain. The book teaches you how to more effectively manage SSIS in the enterprise environment by drawing on the art and science of modern DevOps practices. What You'll LearnGenerate dozens of SSIS packages in minutes to speed your integration projectsReduce the execution of related groups of SSIS packages to a single commandSuccessfully handle SSIS catalog deployments and their projectsMonitor the execution and history of SSIS catalog projectsManage your enterprise data integration life cycle through automated tools and utilitiesWho This Book Is ForDatabase professionals working with SQL Server Integration Services in enterprise environments. The book is especially useful to those readers following, or wishing to follow, DevOps practices in their use of SSIS
Notes Print version record
Subject Data integration (Computer science)
Microsoft programming.
Databases.
COMPUTERS -- Computer Literacy.
COMPUTERS -- Computer Science.
COMPUTERS -- Data Processing.
COMPUTERS -- Hardware -- General.
COMPUTERS -- Information Technology.
COMPUTERS -- Machine Theory.
COMPUTERS -- Reference.
Data integration (Computer science)
Form Electronic book
ISBN 9781484232767
1484232763
1484232755
9781484232750