- Paperback: 276 pages
- Publisher: 1st Book Library (April 20, 2000)
- Language: English
- ISBN-10: 1585009709
- ISBN-13: 978-1585009701
- Product Dimensions: 5 x 0.6 x 8 inches
- Shipping Weight: 10.4 ounces
- Average Customer Review: 4.3 out of 5 stars See all reviews (10 customer reviews)
- Amazon Best Sellers Rank: #3,563,359 in Books (See Top 100 in Books)
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Data and Reality
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About the Author
William Kent (1936-2005) was a renowned researcher in the field of data modeling. Author of Data and Reality, he wrote scores of papers and spoke at conferences worldwide, posing questions about database design and the management of information that remain unanswered today. Though he earned a bachelor's degree in chemical engineering and a master's in mathematics, he had no formal training in computer science. Kent worked at IBM and later at Hewlett-Packard Laboratories, where he helped develop prototype database systems. He also served on or chaired several international standards committees. Kent lived in New York City and later Menlo Park, Calif., before retiring to Moab, Utah, to pursue his passions of outdoor photography and protecting the environment.
--This text refers to an alternate Paperback edition.
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Top Customer Reviews
If you are in data modeling and database area, believe me, this is a must read. It is about the philosophy of data modeling and how data and reality are related. In my opinion, its content cannot be obsolete. It is technology independent. The concept of naming and identification alone is priceless for data modelers. I can't believe I have been working in the database area for more than 30 years without it.
His exposure and description of relationships and how to address them was enlightening.
The second aspect of above statement concerns how we know and communicate information within organizations. However, and most importantly, the broader topic is worth the investment of the reader's time, even though it bridges over into Philosophy.
The bridge to philosophy is tempered by the authors many years doing practical the practical work of data modeling, shaping the professional organizations which develop IT standards and interacting with thought leaders in information systems and the philosophy of knowledge.
Steve Hoberman's additions to the original work by Kent clarify and make accessible this important material. In addition, his contribution gives Kent's classic work a current day perspective.
For IT people who want to take data modeling to the next level or even for the executive who makes organizational decisions concerning information this is an important book.