Metadata Solutions: Using Metamodels, Repositories, XML, and Enterprise Portals
暫譯: 元數據解決方案:使用元模型、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)

買這商品的人也買了...

相關主題

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)

《您即將閱讀的這本書是一本必備指南,旨在使元數據管理成為當今及未來資訊系統中不可或缺且不可變的部分。》--Alan Simon,德勤顧問公司,數據倉儲解決方案小組

隨著數據倉儲的興起以及透過互聯網訪問數據的重要性日益增加,所有IT專業人員都必須熟悉元數據。由全球頂尖資訊技術專家之一撰寫的《元數據解決方案》是一本實用指南,幫助讀者理解和使用元數據作為資訊的入口。這本書作為設計和實施元數據解決方案的藍圖,有效處理組織內部及跨組織的信息訪問和交換。

《元數據解決方案》提供了對當前IT趨勢中元數據角色的啟發性概述。作者詳細探討了元數據、元模型、元元數據和元元模型的概念和結構。她深入描述了特定的基於元數據的技術和標準,並介紹了每種技術的優缺點。這本書以實用的方式提供了實施和維護元數據解決方案的逐步指導,並提供適合各種信息需求和情況的示例解決方案。最重要的是,它為面對元數據挑戰的組織提供了指導。

涵蓋的具體主題包括:
- 傳統的信息定義、設計和訪問方法回顧(數據建模、數據庫、數據倉儲)
- 對以往數據管理嘗試的新視角
- 在不建立另一個數據庫的情況下識別和組織元數據需求
- 檢查供應商、標準和自定義元模型
- 元元模型及其可擴展性的影響
- 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
- 當前和未來的元數據角色和標準
- 有關元數據安全的信息
- 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
- 元數據解決方案實施示例

大量案例研究,基於廣泛的行業經驗,說明了元數據技術和概念的實際應用。一個典型的元數據災難場景及其相關的實施示例,將幫助您識別避免常見陷阱的方法。以這本書作為指導,您將能夠充分準備探索、選擇、實施和維護元數據解決方案,將您組織的數據轉化為更易於訪問和更有價值的資源。

目錄
前言
序言
目標讀者
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

I. 當前的信息
1. 商業即信息
信息定義
信息的演變
信息的角色
信息隧道

2. 當前組織中的信息
實踐中的信息
信息共享與冗餘
支持組織內部信息

3. 組織外的信息
那個著名的下載
數據供應商
信息交換

4. 整合我們的數據:1990年代的修復失敗
數據建模:還有人記得它是什麼嗎?
數據管理組織
案例研究:數據管理的重新引入—Ray McGlew,IMS Health
數據倉儲
介紹「對象」
我們的信息整合了嗎?

5. 識別當前的信息:1990年代的目錄
現成的存儲庫
獨立的元數據存儲
內部目錄
案例研究:保險公司內部目錄實施—Christina Tom,Guardian Life Insurance
內部基於網頁的數據管理
案例研究:在製藥公司使用內聯網提供元數據訪問—Cynthia Wiggins,Merck & Co., Inc.

6. 一場呼喚解決方案的災難
無序的數據管理
數據倉儲網絡
工具、工具和更多工具
元數據:銀彈

II. 元數據作為解決方案的一部分
7. 從信息轉向元數據
將信息與知識進行比較
定義元數據
將信息與元數據相關聯
元數據的視角和受益者

8. 識別元數據需求
整體元數據需求過程
識別元數據受益者
按受益者劃分元數據
元數據來源

9. 組織元數據需求
開始架構規劃過程
識別記錄的元數據
類別化元數據
展望元模型

10. 介紹元模型
從元數據轉向元模型
定義元模型
供應商與自定義元模型
元模型的可擴展性

11. 元模型作為一部分
定義元數據解決方案
記住目標
存儲元數據
訪問元數據
元模型與元數據的關係
各類型的元模型示例

III. 進入元元地帶
12. 元元數據:元數據對工具的意義
工具對元數據的看法
元元數據
存儲元元數據
處理元元數據

13. 元元模型
組織元模型
進入元元地帶
元元模型
信息連接

14. 介紹存儲庫
存儲庫定義
通用存儲庫架構
基本存儲庫特徵
舊技術與新技術的存儲庫
準存儲庫
自定義構建的存儲庫
存儲庫示例

15. 其他基於元數據的技術
網絡
文件管理系統
數據庫管理系統
面向對象的組件庫
元數據無處不在?

16. 標準的影響
內部標準
外部標準
真的有人在遵循它們嗎?

IV. 開始元數據解決方案過程
17. 非元數據因素—組1:非技術環境
重新定義元數據解決方案
確定準備情況
確定您的元數據解決方案範圍
解決方案對內部環境的影響
案例研究:化工公司的非元數據因素—Rachel Brownstein,CIBA Specialty Chemicals

18. 非元數據因素—組2:技術環境
重新檢視多工具架構
確定工具與元數據的連接
呈現元數據
共享元數據
重用元數據
融入外部受益者和供應商

19. 非元數據因素—組3:技術支持
行政管理
組織責任
人員需求
組織圖

20. 確定正確的解決方案
沒有元數據存儲、一個元數據存儲或多個?
標準或自定義元模型
包括或排除互聯網
購買、構建或兩者兼而有之?
案例研究:選擇XML作為解決方案—Daniel Hayes和Ho-Chun Ho,PointandQuote.com

V. 元數據解決方案示例
21. 一場典型的元數據災難
工具、工具和更多工具—案例研究開始
目標、目標和更多目標
元數據、元數據和更多元數據

22. 元數據解決方案1:集中式元數據存儲庫
基本存儲庫組件的互動
基於存儲庫的過程

23. 元數據解決方案2:集成架構
元數據解決方案範圍
通用元模型
元數據解決方案架構
使用元數據解決方案
維護元數據解決方案

24. 元數據解決方案3:信息目錄
信息目錄與企業門戶
目錄元模型
填充目錄
目錄訪問

25. 元數據解決方案4:元數據互換
通用元模型
標準化元數據值
確定元數據和工具架構的範圍
元數據來源、目標接口和翻譯

26. 元數據解決方案5:獨立的元數據存儲
定義有限範圍
設計元模型
填充元模型
準備元數據可訪問性
維護元數據

27. 元數據解決方案6:建立企業門戶
產品架構
門戶元模型
將門戶應用於典型的元數據災難

IV. 維護元數據解決方案
28. 元數據責任
IT和最終用戶責任分解
建議的組織結構

29. 確保元數據的生存
增加額外元數據存儲的功能和內容
保持架構不變
分階段實施
修訂IT流程

30. 元數據不再是第二名。