Details
Data Integration Life Cycle Management with SSIS
A Short Introduction by Example|
46,99 € |
|
| Verlag: | Apress |
| Format: | |
| Veröffentl.: | 17.11.2017 |
| ISBN/EAN: | 9781484232767 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<div><div>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.</div><div><br></div><div><i>Data Integration Life Cycle Management with SSIS</i> 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. </div></div><div><br></div><div><b>What You'll Learn</b></div><div><div><ul><li>Generate dozens of SSIS packages in minutes to speed your integration projects<br></li><li>Reduce the execution ofrelated groups of SSIS packages to a single command<br></li><li>Successfully handle SSIS catalog deployments and their projects <br></li><li>Monitor the execution and history of SSIS catalog projects<br></li><li>Manage your enterprise data integration life cycle through automated tools and utilities</li></ul></div></div><div><b>Who This Book Is For</b><br></div><div><br></div><div>Database 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.<br></div>
<p>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.</p>
<b>Andy Leonard</b> is Data Philosopher at Enterprise Data & Analytics, and SSIS trainer, consultant, and developer. He also is a Business Intelligence Markup Language (Biml) developer and BimlHero. Andy also is an SQL Server database and data warehouse developer, community mentor, engineer, and farmer. He is a co-author of <i>The BIML Book </i>(Apress), and <i>SQL Server Integration Services Design Patterns </i>(Apress).
<div><div>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.</div><div><br></div><div><i>Data Integration Life Cycle Management with SSIS</i> 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. </div></div><div><br></div><div>What You'll Learn:</div><div><ul><li>Generate dozens of SSIS packages in minutes to speed your integration projects<br></li><li>Reduce the execution of related groups of SSIS packages to a single command<br></li><li>Successfully handle SSIS catalog deployments and their projects <br></li><li>Monitor the execution and history of SSIS catalog projects<br></li><li>Manage your enterprise data integration life cycle through automated tools and utilities</li></ul></div><div><br></div>
Practices in this book enable repeatable automation, which is at the heart of DevOps practices in the modern enterprise Shows you how to more effectively manage the data integration lifecycle, which is the majority task in most data science projects Covers SQL Server Integration Services, which is a powerful enterprise data integration engine
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