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Meta Data Architecture Fundamentals
http://www.metadataforums.com/articles/253/1/Meta-Data-Architecture-Fundamentals/Page1.html
David Marco

Mr. Marco is an internationally recognized expert in the fields of data warehousing, enterprise architecture and business intelligence, and is the world’s foremost authority on meta data.  He is the author of the widely acclaimed books “Universal Meta Data Models” (John Wiley & Sons, April 2004) and “Building and Managing the Meta Data Repository” (John Wiley & Sons).  These groundbreaking books have been broadly endorsed by many of the largest software companies in the industry and by several major magazines.  In addition, he is a coauthor of “Impossible Data Warehouse Situations and Solutions From The Experts” (Addison-Wesley) and “Data Resource Management” (DAMA).  Mr. Marco has published hundreds of articles, is a regular columnist for several technology magazines and has served as a judge in dozens of industry awards.  In addition, in 2004 Mr. Marco was selected to the very prestigious Crain’s Chicago Business “Top 40 Under 40”.

Mr. Marco is a highly sought after speaker and has presented over 100 keynote addresses and courses at the major business, data warehousing, and meta data conferences throughout the world.  Mr. Marco has taught at the University of Chicago and DePaul University, and is on the Advisory Council for DePaul University’s College of Commerce. In addition, he is the founder and President of EWSolutions, a GSA schedule and Chicago-headquartered strategic partner and systems integrator dedicated to providing companies and large government agencies with best-in-class knowledge-based solutions using enterprise architecture, data warehousing, and managed meta data environment technologies (866) EWS-1100 or visit www.EWSolutions.com

 
By David Marco
Published on 07/3/2008
 

Over the next few years many companies will have the unenviable task of completely rebuilding their decision support systems. This is occurring because many of these systems were built with flawed architectures. The architecture used to build the meta data repository is every bit as critical to its long-term viability as the architecture for the decision support system is. By taking the time to build a sound architecture your repository effort will be able to grow and mature over time to support all of your company’s meta data needs.