FREE SHIPPING BOTH WAYS
ON EVERY ORDER!
LIST PRICE:
$59.99

Sorry, this item is currently unavailable.

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

ISBN: 9780137084937 | 0137084935
Edition: 1st
Format: Hardcover
Publisher: IBM Press
Pub. Date: 12/27/2010

Why Rent from Knetbooks?

Because Knetbooks knows college students. Our rental program is designed to save you time and money. Whether you need a textbook for a semester, quarter or even a summer session, we have an option for you. Simply select a rental period, enter your information and your book will be on its way!

Top 5 reasons to order all your textbooks from Knetbooks:

  • We have the lowest prices on thousands of popular textbooks
  • Free shipping both ways on ALL orders
  • Most orders ship within 48 hours
  • Need your book longer than expected? Extending your rental is simple
  • Our customer support team is always here to help
Making Data Integration Work: How to Systematically Reduce Cost, Improve Quality, and Enhance Effectiveness #xA0; Today#x19;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. #xA0; 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. #xA0; Mr. Giordano begins with an overview of the #x1C;patterns#x1D; 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#x19;s appendices bring together key principles, detailed models, and a complete data integration glossary. #xA0; Coverage includes Implementing repeatable, efficient, and well-documented processes for integrating data Lowering costs and improving quality by eliminating unnecessary or duplicative data integrations Managing the high levels of complexity associated with integrating business and technical data Using intuitive graphical design techniques for more effective process and data integration modeling Building end-to-end data integration applications that bring together many complex data sources


Please wait while this item is added to your cart...