Data Integration Blueprint and Modeling: Techniques for a Scalable and Sustainable Architecture (paperback) (IBM Press)

Data Integration Blueprint and Modeling: Techniques for a Scalable and Sustainable Architecture (paperback) (IBM Press) cover

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Author: Anthony David Giordano

Pages: 504

Size: 816,93 Kb

Publication Date: January 6,2011

Category: Data Warehousing



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Making Data Integration Function: How exactly to Systematically Reduce Price, Improve Quality, and Enhance Efficiency

Today’s enterprises are investing substantial assets in data integration. Many possess a large number of point-to-stage data integration applications that are pricey, undocumented, and hard to keep up. Leading IBM data administration expert Tony Giordano includes guidelines for architecture, style, and methodology, and displays how to perform the disciplined work to getting data integration best.

This publication presents the perfect solution is: a clear, consistent method of defining, creating, and building data integration parts to lessen cost, simplify administration, enhance quality, and improve efficiency. Data integration now makes up about a major area of the expenditure and risk of standard data warehousing and business cleverness projects–and, as businesses more and more rely on analytics, the necessity for a blueprint for data integration is definitely increasing now as part of your. The reserve’s appendices gather key principles, detailed versions, and a full data integration glossary. Giordano starts with a synopsis of the “patterns” of data integration, showing developing blueprints that smoothly deal with both operational and analytic data integration.

Coverage contains

  • Applying repeatable, efficient, and well-documented procedures for integrating data
  • Lowering costs and enhancing quality by eliminating unneeded or duplicative data integrations
  • Managing the high degrees of complexity connected with integrating business and specialized data
  • Using intuitive graphic design techniques for far better procedure and data integration modeling
  • Building end-to-end data integration applications that gather many complex data resources
Finally, he displays how exactly to integrate data integration with various other information administration disciplines, from data governance to metadata.

Mr. Next, he walks through the whole task lifecycle, explaining each stage, activity, job, and deliverable through a total case study.


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