Data Integration Life Cycle Management with SSIS (e-bog) af Leonard, Andy
Leonard, Andy (forfatter)

Data Integration Life Cycle Management with SSIS e-bog

288,10 DKK (inkl. moms 360,12 DKK)
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...
E-bog 288,10 DKK
Forfattere Leonard, Andy (forfatter)
Forlag Apress
Udgivet 17 november 2017
Genrer UMP
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781484232767
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 projects Monitor 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.