Metadata Solutions: Using Metamodels, Repositories, XML, and Enterprise Portals (元數據解決方案:運用元模型、資料庫、XML 與企業入口網站)

Adrienne Tannenbaum

  • 出版商: Addison Wesley
  • 出版日期: 2001-08-24
  • 定價: $1,575
  • 售價: 2.5$399
  • 語言: 英文
  • 頁數: 528
  • 裝訂: Paperback
  • ISBN: 0201719762
  • ISBN-13: 9780201719765
  • 相關分類: XML
  • 立即出貨(限量) (庫存=6)

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商品描述

"The book you are about to read is the essential guide, for once and for all making metadata management an intrinsic, immutable part of today's and tomorrow's information systems."
--Alan Simon, Deloitte Consulting, Data Warehousing Solutions Group

With the advent of data warehousing and the growing importance of data access through the Internet, it is essential for all IT professionals to be familiar with metadata. Written by one of the world's foremost information technology experts, Metadata Solutions is a practical guide to understanding and using metadata as a gateway to information. This book serves as a blueprint for designing and implementing a metadata solution that effectively handles information access and exchange within and across organizations.

Metadata Solutions offers an enlightening overview of the role of metadata within current IT trends. The author provides detailed treatment of metadata, metamodels, meta-metadata, and meta-metamodel concepts and structures. She offers in-depth descriptions of specific metadata-based technologies and standards, featuring the benefits and drawbacks of each. With a practical approach, this book presents step-by-step instructions for implementing and maintaining a metadata solution, and provides sample solutions appropriate for a variety of informational needs and circumstances. Most important, it serves as a guide for organizations that are coping with metadata.

Coverage includes the following specific topics:

  • A review of conventional approaches to information definition, design, and access (data modeling, databases, data warehousing)
  • A renewed perspective on previous attempts at data management
  • Identification and organization of metadata requirements without setting up yet another database
  • Examination of vendor, standard, and custom metamodels
  • The meta-metamodel and the impact of extensibility
  • Metadata solution components, including stores and displays
  • Types of metadata solutions, including repositories, XML-based exchange, and enterprise portals
  • The metadata roles and standards of today and tomorrow
  • Information about metadata security
  • Organizational structures for creating, managing, and maintaining the metadata solution
  • Ways to expand existing metadata solutions
  • Sample metadata solution implementations

Numerous case studies, drawn from extensive industry experience, illustrate real-world applications of metadata techniques and concepts. A typical metadata disaster scenario, with associated implementation examples, will help you identify ways to avoid common pitfalls. With this book as your guide, you will be well prepared to explore, choose, implement, and maintain a metadata solution to transform your organization's data into a more accessible and valuable resource.

 Table of Contents

Foreword.
Preface.
Intended Audience.
How This Book is Organized.
Reading Paths.
Model Legend
What is your Objective?
Acknowledgements.
About the Author.

I. TODAY'S INFORMATION.

1. The Business Is Information.

Information Defined.
Evolution of Information.
The Role of Information.
Information Tunnels.


2. The Information in Today's Organization.

Information in Practice.
Information Sharing and Redundancy.
Supporting Intraorganization Information.


3. Information Outside the Organization.

That Famous Download.
The Data Vendors.
Information Exchange.


4. Integrating Our Data: Where the Repairs of the 1990s Broke Down.

Data Modeling: Does Anyone Remember What It Is?
The Data Management Organization.
Case Study: A Data Management Reintroduction—Ray McGlew, IMS Health.
Data Warehousing.
Introducing "Objects".
Is Our Information Integrated?


5. Identifying Today's Information: The Directories of the 1990s.

Off-the-Shelf Repositories.
Standalone Metadata Stores.
Internal Directories.
Case Study: Internal Directory Implementation in an Insurance Company—Christina Tom, Guardian Life Insurance.
Internal Web-Based Data Management.
Case Study: Using the Intranet to Provide Metadata Access at a Pharmaceutical Company—Cynthia Wiggins, Merck & Co., Inc.


6. A Disaster Crying for Solutions.

Anarchical Data Management.
The Data Warehouse Web.
Tools, Tools, and More Tools.
Metadata: The Silver Bullet.

II. METADATA AS PART OF THE SOLUTION.


7. Moving From Information to Metadata.

Comparing Information to Knowledge.
Defining Metadata.
Relating Information to Metadata.
Metadata Perspectives and Beneficiaries.


8. Identifying Metadata Requirements.

The Overall Metadata Requirements Process.
Identifying Metadata Beneficiaries.
Metadata by Beneficiary.
Metadata Sourcing.


9. Organizing Metadata Requirements.

Beginning the Architectural Planning Process.
Identifying the Metadata of Record.
Categorizing Metadata.
Looking Toward Metamodels.


10. Introducing Metamodels.

Moving from Metadata to Metamodels.
Defining the Metamodel.
Vendor versus Custom Metamodels.
Metamodel Extensibility.


11. Metamodels as a Piece of the Pie.

Defining the Metadata Solution.
Remembering the Objective.
Storing Metadata.
Accessing Metadata.
Metamodel and Metadata Relationships.
Sample Metamodels of Various Types.

III. ENTERING META-META LAND.


12. Meta-Metadata: What Metadata Means to a Tool.

The Tool's View of Metadata.
Meta-Metadata.
Storing Meta-Metadata.
Processing Meta-Metadata.


13. The Meta-Metamodel.

Organizing Metamodels.
Inside Meta-Meta Land.
Meta-Metamodels.
The Information Connection.


14. Introducing Repositories.

Repositories Defined.
The Generic Repository Architecture.
Essential Repository Characteristics.
Old versus New Repository Technology.
The Quasi-Repository.
Custom-Built Repositories.
Repository Examples.


15. Other Metadata-Based Technologies.

The Web.
File Management Systems.
Database Management Systems.
Object-Oriented Component Libraries.
Metadata Everywhere?


16. The Impact of Standards.

Internal Standards.
External Standards.
Is Anyone Really Following Them?

IV. BEGINNING THE METADATA SOLUTION PROCESS.


17. The Non-Metadata Factors—Group 1: The Nontechnical Environment.

Redefining the Metadata Solution.
Determining Readiness.
Scoping Your Metadata Solution.
The Solution's Impact on the Internal Environments.
Case Study: Non-Metadata Factors at a Chemical Company—Rachel Brownstein, CIBA Specialty Chemicals.


18. The Non-Metadata Factors—Group 2: The Technical Environment.

Revisiting the Multitool Architecture.
Determining Tool and Metadata Connections.
Presenting the Metadata.
Sharing the Metadata.
Reusing the Metadata.
Incorporating External Beneficiaries and Suppliers.


19. The Non-Metadata Factors—Group 3: Technical Support.

Administration.
Organization Responsibilities.
Staffing Requirements.
Organization Charts.


20. Determining the Right Solution.

No Metadata Stores, One Metadata Store, or Many?
Standard or Customized Metamodels.
Including or Excluding the Internet.
Buy, Build, or Both?
Case Study: Choosing XML as the Solution—Daniel Hayes and Ho-Chun Ho, PointandQuote.com.

V. SAMPLE METADATA SOLUTIONS.


21. A Typical Metadata Disaster.

Tools, Tools, and More Tools—Case Study Begins.
Objectives, Objectives, and More Objectives.
Metadata, Metadata, and More Metadata.


22. Metadata Solution 1: The Centralized Metadata Repository.

The Interaction of Basic Repository Components.
Repository-Based Processes.


23. Metadata Solution 2: An Integrated Architecture.

Metadata Solution Scope.
The Common Metamodel.
The Metadata Solution Architecture.
Using the Metadata Solution.
Maintaining the Metadata Solution.


24. Metadata Solution 3: The Information Directory.

Information Directory versus Enterprise Protal.
The Directory Metamodel.
Populating the Directory.
Directory Access.


25. Metadata Solution 4: Metadata Interexchange.

A Common Metamodel.
Standardizing Metadata Values.
Scoping the Metadata and Tools Architecture.
Metadata Sources, Target Interfaces, and Translation.


26. Metadata Solution 5: A Standalone Metadata Store.

Defining the Limited Scope.
Designing the Metamodel.
Populating the Metamodel.
Preparing Metadata Accessibility.
Maintaining Metadata.


27. Metadata Solution 6: Building an Enterprise Portal.

Product Architecture.
The Portal Metamodel.
Applying a Portal to the Typical Metadata Disaster.

IV. MAINTAINING THE METADATA SOLUTION.


28. Metadata Responsibilities.

IT and End-User Responsibility Breakdown.
Suggested Organization Structures.


29. Ensuring Metadata's Livelihood.

Adding the Functionality and Contents of Additional Metadata Stores.
Keeping the Architecture in Place.
Phased Implementation.
Revising IT Processes.


30. Metadata Is No Longer a Runner Up.

Current Tasks to Ensure an Organization's Metadata Readiness.
Short-Term Metadata Objectives.
Long-Term Metadata-Based Goals.
Business Strategy and IT Collaboration.
If Not Now, When?


Appendix A: Glossary.
Appendix B: Additional Readings.

商品描述(中文翻譯)

「你即將閱讀的這本書是將元數據管理作為當今和未來信息系統中固有且不可變的一部分的基本指南。」- Alan Simon, Deloitte Consulting, Data Warehousing Solutions Group

隨著數據倉儲的出現和通過互聯網進行數據訪問的重要性日益增長,所有IT專業人員都需要熟悉元數據。《Metadata Solutions》是世界頂尖信息技術專家之一撰寫的一本實用指南,旨在理解和使用元數據作為信息的入口。本書作為設計和實施有效處理組織內部和跨組織信息訪問和交換的元數據解決方案的藍圖。

《Metadata Solutions》提供了元數據在當前IT趨勢中的角色的深入概述。作者詳細介紹了元數據、元模型、元元數據和元元模型的概念和結構。她詳細描述了特定基於元數據的技術和標準,介紹了每種技術的優點和缺點。本書以實用的方法提供了實施和維護元數據解決方案的逐步指南,並提供了適用於各種信息需求和情況的示例解決方案。最重要的是,它為正在應對元數據的組織提供了指南。

本書涵蓋了以下具體主題:
- 對信息定義、設計和訪問的常規方法的回顧(數據建模、數據庫、數據倉儲)
- 對以前的數據管理嘗試的新觀點
- 在不設置另一個數據庫的情況下識別和組織元數據需求
- 廠商、標準和自定義元模型的研究
- 元元模型和可擴展性的影響
- 元數據解決方案組件,包括存儲和顯示
- 元數據解決方案的類型,包括存儲庫、基於XML的交換和企業門戶
- 今天和明天的元數據角色和標準
- 元數據安全性的信息
- 創建、管理和維護元數據解決方案的組織結構
- 擴展現有元數據解決方案的方法
- 示例元數據解決方案實施

大量的案例研究,來自廣泛的行業經驗,展示了元數據技術和概念的實際應用。一個典型的元數據災難情景,以及相關的實施示例,將幫助您避免常見的問題。有了這本書作為指南,您將能夠探索、選擇、實施和維護一個元數據解決方案,將您組織的數據轉化為更易訪問和有價值的資源。

目錄:
- 前言
- 前言
- 預期讀者
- 本書組織方式
- 閱讀路徑
- 模型圖例
- 您的目標是什麼
- 致謝
- 關於作者

第一部分:今天的信息
1. 商業就是信息
- 定義信息
- 信息的演變
- 信息的角色
- 信息通道

2. 當今組織中的信息
- 實踐中的信息
- 信息共享和冗余
- 支持組織內部信息

3. 組織外的信息
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