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Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World, 3rd Edition
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Review
From Graeme Simsion's foreword: While such fundamental issues remain unrecognized and unanswered, Data and Reality, with its lucid and compelling elucidation of the questions, needs to remain in print. I read the book as a database administrator in 1980, as a researcher in 2002, and just recently as the manuscript for the present edition. On each occasion I found something more, and on each occasion I considered it the most important book I had read on data modeling. It has been on my recommended reading list forever. The first chapter in particular should be mandatory reading for anyone involved in data modeling. In publishing this new edition, Steve Hoberman has not only ensured that one of the key books in the data modeling canon remains in print, but has added his own comments and up-to-date examples, which are likely to be helpful to those who have come to data modeling more recently. Don't do any more data modeling work until you've read it.
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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.
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Product details
Paperback: 200 pages
Publisher: Technics Publications, LLC; Third edition (March 19, 2012)
Language: English
ISBN-10: 1935504215
ISBN-13: 978-1935504214
Product Dimensions:
8 x 0.4 x 10 inches
Shipping Weight: 15 ounces (View shipping rates and policies)
Average Customer Review:
4.4 out of 5 stars
11 customer reviews
Amazon Best Sellers Rank:
#93,260 in Books (See Top 100 in Books)
I did my PhD in database in the early 80s. This book by W. Kent was around already and I heard about it but did not have a copy of it. Had I read the book, my research work would have been 10 times better. This current printing is the reprint of the original one. The author mentioned in the preface that he was asked to update the book but he didn't because he thought it was still up to date (and I absolutely agree).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.
This is an excellent introduction to the ambiguities that make designing a database difficult and some of the more philosophical aspects of designing databases. A lot of the historical detail is interesting for modern practitioners. I would strongly recommend trying to obtain an edition of this book other than the "third edition" which has been significantly modified by Steve Hoberman. I am in complete agreement with this review (https://www.amazon.co.uk/gp/customer-reviews/RZUKQF8JV7DM3/ref=cm_cr_dp_d_rvw_ttl?ie=UTF8&ASIN=1935504215). I would recommend attempting to get hold of an older edition, like this one, while emailing Penguin asking them for a new edition of the original book.
This book does bring a sense of "reality" to data and data modeling. The author provides a fresh perspective on data and data modeling without being dogmatic about which way is the best way to represent data. He exposes some of the subtle but critical factors which everyone working with data needs.His exposure and description of relationships and how to address them was enlightening.
Really interesting conceptual look at data modeling and defining entities
Some very important considerations for data modeling. Clearly explained with lots of good examples. William Kent does an excellent job of delving into the philosophy but always pointing back to the need to keep things practical for your use case. This will change the way you think about data and how it is represented.
Very helpful in understanding issues related to representing reality in machine-readable form.
I found this book following a reference from a Martin Fowler book.It's been a while since I read it, very interesting discourse on modelling data.
A study group book. Good discussion but everyone pretty much agreed it was too vague and out of date.
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