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Cover image for product 0471355232
Marco
ISBN: 978-0-471-35523-6
Paperback
416 pages
August 2000
Out of stock and no re-print for this title
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  • Table of Contents
  • Author Information
  • Reviews
"This is the first book to tackle the subject of meta data in data warehousing, and the results are spectacular . David Marco has written about the subject in a way that is approachable, practical, and immediately useful. Building and Managing the Meta Data Repository: A Full Lifecycle Guide is an excellent resource for any IT professional." -Steve Murchie Group Product Manager, Microsoft Corporation Building and Managing the Meta Data Repository Meta data repositories can provide your company with tremendous value if they are used properly and if you understand what they can, and can't, do. Written by David Marco, the industry's leading authority on meta data and well-known columnist for DM Review, this book offers all the guidance you'll need for developing, deploying, and managing a meta data repository to gain a competitive advantage. After illustrating the fundamental concepts, Marco shows you how to use meta data to increase your company's revenue and decrease expenses. You'll find a comprehensive look at the major trends affecting the meta data industry, as well as steps on how to build a repository that is flexible enough to adapt to future changes. This vendor-neutral guide also includes complete coverage of meta data sources, standards, and architecture, and it explores the full gamut of practical implementation issues. Taking you step-by-step through the process of implementing a meta data repository, Marco shows you how to:
* Evaluate meta data tools
* Build the meta data project plan
* Design a custom meta data architecture
* Staff a repository team
* Implement data quality through meta data
* Create a physical meta data model
* Evaluate meta data delivery requirements
The CD-ROM includes:
* A sample implementation project plan
* A function and feature checklist of meta data tool requirements
* Several physical meta data models to support specific business functions
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