Metadata Solutions : Using Metamodels, Repositories, Xml, and Enterprise Portals to Generate Information on Demand

Metadata Solutions : Using Metamodels, Repositories, Xml, and Enterprise Portals to Generate Information on Demand

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 490 p.
  • 言語 ENG
  • 商品コード 9780201719765
  • DDC分類 005.7

Full Description


Metadata is increasingly central to enterprise IT architecture, and to applications ranging from data warehousing to CRM. Finally, there's a comprehensive, start-to-finish guide to implementing metadata solutions. Leading data management consultant Adrienne Tannenbaum covers the real issues associated with bringing together data from multiple sources, identifies the key challenges to building effective metadata systems, and presents practical solutions. Tannenbaum begins by focusing on data, its relationship to knowledge, why it is so hard to locate, and how metadata can help. She reviews the key elements of a metadata solution, including metamodels, metadata stores, and repositories, and presents a complete methodology for planning and implementing a metadata solution. She reviews non-technical factors such as readiness and scoping, as well as technical issues such as architecture, exchange, and presentation. Tannenbaum compares today's leading metadata approaches and solutions, including solutions that leave metadata in place, accessing it through a common portal or gateway, as well as solutions that centralize metadata. The book concludes with a thorough discussion of managing metadata solutions and maintaining metadata quality. Throughout, Tannenbaum presents extensive real-world examples and case studies garnered from her extensive consulting experience.

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. Index 0201719762T04172001