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Summary: Español!!
Review: Me parece un extraordinario título, aunque siento que hace falta una versión en español que permita expander mejor esta obra.
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Summary: Not well-written, better data modeling books available
Review: Since there are not many books written on the subject of logical data modeling despite the glaring need for instructional and reference material for this data management technique, I was very interested to learn of a new volume, "Data Modeling for Information Professionals". I eagerly purchased a copy and started to read it, expecting to find familiar concepts and some new insights. However, this book did not meet my expectations. It is too wordy, unnecessarily, with too many "cute" digressions. Even many of the "entertaining" passages are artificial and leave the reader with a sense of "huh?". These deficiencies could be overlooked if the book taught the basics of logical data modeling straightforwardly, which it does not. The author confuses the novice modeler or the manager of data modelers (or worse, a user thrust into a data modeling exercise) with multiple discussions of predicates, classes, states - and takes almost 50 pages before introducing the concept of entities, and allows another 100 pages to pass before attributes are mentioned. For someone looking for a simple explanation logical data modeling, this is far too late.The discipline of logical data modeling has been castigated by many established ("old-fashioned") data processing professionals for its esoteric nature and lack of practical relevance to application development. A book written by a team that developed a fine computer-based training program for data modeling ("Infostructure Pro") could have dispelled this myth by providing forthright explanations of the concepts and practical, easy to understand examples of each technique used in probable modeling situations. Unfortunately, this book does not achieved the goal of advancing the understanding and acceptance of data modeling in the general IT community.
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Summary: One of the best and easiest to read in a LONG while!
Review: This book is probably one the best books on data modelling I've had the privilege of reading. It very clearly lays out concepts that I personally have found difficult to understand from other texts. The manner is very down-to-earth and doesn't resort to academic-speak as many of these sort of texts have a tendancy of doing. His humour is well-placed, (not to mention nice to see! The author clearly doesn't take himself too seriously, and this helps his explanations tremendously!) I liked this book, and think you will too if you want something that will give you the basic tools to create a solid, dependable data store that will live into the future.
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Summary: One of the best and easiest to read in a LONG while!
Review: This book is probably one the best books on data modelling I've had the privilege of reading. It very clearly lays out concepts that I personally have found difficult to understand from other texts. The manner is very down-to-earth and doesn't resort to academic-speak as many of these sort of texts have a tendancy of doing. His humour is well-placed, (not to mention nice to see! The author clearly doesn't take himself too seriously, and this helps his explanations tremendously!) I liked this book, and think you will too if you want something that will give you the basic tools to create a solid, dependable data store that will live into the future.
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Summary: Its not for professionals
Review: This is an introductory college book. I would rate it a 3 for that but since professional is in the title I have to give it a one. The terminology differs significantly from that used in uml. A great deal of the book is spent explaining predicates, and done so poorly. The definition of domains is a little fuzzy
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Summary: Best book on data modeling on the market today!
Review: This is by far the best book on data modeling on the market today. I explains the usually incomprehesible and dry entity - relationship subject in a way that is understandable for managers, programmers, and database modelers. I make all my employees that have to use any kind of database read this book. This is a must have for anyone in Information Business.
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Summary: A philosophy of data modeling
Review: When I was faced with creating a data model for an entire system for the first time, I instructed myself from this book for the theory, and from "The Data Modeling Handbook" by Reingruber and Gregory for the implementation details. There are many books on databases, some of them huge, which cover the same old rules about the five normal forms, etc. What absorbed my interest in this book is that it described how to model a relational database using concepts which, to me, seemed somewhat object-oriented. This reasonably-sized book was a very readable, informative exposition of the practical theory to have in mind when conceptualizing a database. The database built with the advice from this book is still going strong today...it's robust, flexible and expandable. Some credit for that goes to the lessons learned from this book.
Rating:
Summary: A philosophy of data modeling
Review: When I was faced with creating a data model for an entire system for the first time, I instructed myself from this book for the theory, and from "The Data Modeling Handbook" by Reingruber and Gregory for the implementation details. There are many books on databases, some of them huge, which cover the same old rules about the five normal forms, etc. What absorbed my interest in this book is that it described how to model a relational database using concepts which, to me, seemed somewhat object-oriented. This reasonably-sized book was a very readable, informative exposition of the practical theory to have in mind when conceptualizing a database. The database built with the advice from this book is still going strong today...it's robust, flexible and expandable. Some credit for that goes to the lessons learned from this book.
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