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

Anthony David Giordano

  • 出版商: IBM Press
  • 出版日期: 2011-01-06
  • 定價: $2,100
  • 售價: 8.0$1,680
  • 語言: 英文
  • 頁數: 416
  • 裝訂: Hardcover
  • ISBN: 0137084935
  • ISBN-13: 9780137084937
  • 相關分類: JVM 語言
  • 立即出貨 (庫存 < 4)

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商品描述

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

  • 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

商品描述(中文翻譯)

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

現今企業正投入大量資源於資料整合。許多企業擁有成千上萬個點對點的資料整合應用程式,這些程式昂貴、未記錄且難以維護。資料整合現在已成為典型資料倉儲和商業智慧專案中的主要費用和風險之一,而隨著企業越來越依賴分析,對於資料整合的藍圖需求比以往更加迫切。

本書提供解決方案:一種明確、一致的方法來定義、設計和建立資料整合元件,以降低成本、簡化管理、提升品質和改善效能。領先的IBM資料管理專家Tony Giordano匯集了架構、設計和方法論的最佳實踐,並展示如何進行紀律性的工作,以確保資料整合的正確性。

Giordano先生首先概述了資料整合的「模式」,展示如何建立能夠順利處理運營和分析資料整合的藍圖。接著,他通過完整的案例研究,逐步介紹了整個專案生命週期,解釋了每個階段、活動、任務和交付物。最後,他展示了如何將資料整合與其他資訊管理學科整合,從資料治理到元數據。本書的附錄匯集了關鍵原則、詳細模型和完整的資料整合詞彙表。

本書的內容包括:
- 實施可重複、高效且有良好文件化的資料整合流程
- 通過消除不必要或重複的資料整合來降低成本並提升品質
- 管理與業務和技術資料整合相關的高度複雜性
- 使用直觀的圖形設計技術進行更有效的流程和資料整合建模
- 構建將多個複雜資料來源整合在一起的端到端資料整合應用程式