Customer Reviews

Physical Database Design Using Oracle (Foundations of Database Design)

5 star:		(2)
4 star:		(1)
3 star:		(1)
2 star:		(0)
1 star:		(1)

 

 

This is a great book if you were a DBA and trying to find out what the upgrades were since 7.3. I would not consider this a reference book, but a good refresher. If a novice were to pick it up, he still would have no idea what objects are, or how to normalize the data. What I didn't like was the Ph.D. bashing, there was no need for that. the writer should have stayed on a positive note. The commentary belongs in a commentary.

Not sure where the good rating came from, but this book is poorly written and seems to not have been researched much, if at all. Limited test cases show that material was probably grabbed from some other publication, with little application to the application at hand. It is now a table leveller in the office.

Every DBA will benefit from this book. It is an often overlooked area by most dba's under a deadline to take a data model into physical layout. The information on 10g is worth the price of the book alone.

Noticed this book, as it is a recently-published book on database design. Not as detailed and researched as one of the typical O'Reilly publisher books, but nonetheless, still pretty interesting in the reccomendations and suggestions the author had to say.

Was somewhat perplexed by the sexist remarks on page 19, however. The author described what an "Educated Idiot" is, someone with a PhD and that is given a role in database design, but has "no real-world experience", and "lacks necessary technical skills". In addressing such a person, the author uses the word "she" multiple times, as if this person must be a woman. There is a reference again on the next page too... Amusing...

Very little has been written on how important the physical design can be to Oracle performance. This book describes these exact issues and has some excellent examples of the best methods for chosing the best underlying physical structures for your Oracle data.