Menu

Data Integration Blueprint and Modeling: Techniques for a Scalable and Sustainable Architecture

Computers


by
Anthony David Giordano

Book Details

Format: EPUB

Page count: 404 pages

File size: 13.2 MB

Protection: DRM

Language: English

This is the eBook version of the printed book.

Making Data Integration Work: How to Systematically Reduce Cost, Improve Quality, and Enhance Effectiveness

 

Today’s enterprises are investing massive resources in data integration. Many possess thousands of point-to-point data integration applications that are costly, undocumented, and difficult to maintain. Data integration now accounts for a major part of the expense and risk of typical data warehousing and business intelligence projects–and, as businesses increasingly rely on analytics, the need for a blueprint for data integration is increasing now more than ever.

 

This book presents the solution: a clear, consistent approach to defining, designing, and building data integration components to reduce cost, simplify management, enhance quality, and improve effectiveness. Leading IBM data management expert Tony Giordano brings together best practices for architecture, design, and methodology, and shows how to do the disciplined work of getting data integration right.

 

Mr. Giordano begins with an overview of the “patterns” of data integration, showing how to build blueprints that smoothly handle both operational and analytic data integration. Next, he walks through the entire project lifecycle, explaining each phase, activity, task, and deliverable through a complete case study. Finally, he shows how to integrate data integration with other information management disciplines, from data governance to metadata. The book’s appendices bring together key principles, detailed models, and a complete data integration glossary.

 

Coverage includes

This is the eBook version of the printed book.

Making Data Integration Work: How to Systematically Reduce Cost, Improve Quality, and Enhance Effectiveness

 

Today’s enterprises are investing massive resources in data integration. Many possess thousands of point-to-point data integration applications that are costly, undocumented, and difficult to maintain. Data integration now accounts for a major part of the expense and risk of typical data warehousing and business… (more)

This is the eBook version of the printed book.

Making Data Integration Work: How to Systematically Reduce Cost, Improve Quality, and Enhance Effectiveness

 

Today’s enterprises are investing massive resources in data integration. Many possess thousands of point-to-point data integration applications that are costly, undocumented, and difficult to maintain. Data integration now accounts for a major part of the expense and risk of typical data warehousing and business intelligence projects–and, as businesses increasingly rely on analytics, the need for a blueprint for data integration is increasing now more than ever.

 

This book presents the solution: a clear, consistent approach to defining, designing, and building data integration components to reduce cost, simplify management, enhance quality, and improve effectiveness. Leading IBM data management expert Tony Giordano brings together best practices for architecture, design, and methodology, and shows how to do the disciplined work of getting data integration right.

 

Mr. Giordano begins with an overview of the “patterns” of data integration, showing how to build blueprints that smoothly handle both operational and analytic data integration. Next, he walks through the entire project lifecycle, explaining each phase, activity, task, and deliverable through a complete case study. Finally, he shows how to integrate data integration with other information management disciplines, from data governance to metadata. The book’s appendices bring together key principles, detailed models, and a complete data integration glossary.

 

Coverage includes

(less)