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SQL Design Patterns: The Expert Guide to SQL Programming (IT In-Focus)
Purchase options and add-ons
- ISBN-100977671542
- ISBN-13978-0977671540
- Publication date
2014
April 10
- Language
EN
English
- Dimensions
7.5 x 0.6 x 9.3
inches
- Length
256
Pages
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About the Author
Product details
- Publisher : Rampant TechPress (April 10, 2014)
- Language : English
- Paperback : 256 pages
- ISBN-10 : 0977671542
- ISBN-13 : 978-0977671540
- Item Weight : 1.13 pounds
- Dimensions : 7.5 x 0.58 x 9.25 inches
- Best Sellers Rank: #2,941,286 in Books (See Top 100 in Books)
- #561 in SQL
- #934 in Database Storage & Design
- #2,722 in Computer Programming Languages
- Customer Reviews:
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-C
The author invented many techniques, the most famous is probably the row generator CONNECT BY LEVEL<10. Wise approach to constraint is to use a on-commit refreshable materialized view and a constraint on the materialized view to check the view is empty rather than using a trigger. This technique however requires COMMIT (like a deferred constraint).
if your into the super deep stuff u might check this out, however if u are a practical user, than this will be pretty useless.
Top reviews from other countries
As a power user of an sql database you will probably sooner or later face one or another problem described in the book. Until now I have managed to solve my problems myself, but why reinvent the wheel? It is not only the speed in the development and sql execution time but also maintainability that this book could help you to increase.
As a business and marketing databases analyst I could directly profit from the discussion of the pivot and histogram patterns. Interval coalesce is what I probably will be able to use directly in the near future. The chapters about trees and graphs have extended my horizon. Now I am be able to think about data management problems in a more powerful abstract way. I will certainly keep the book on my table for a reference.
However decently focusing on mainstream sql the book has a slight skew towards Oracle dialect. I have also hoped to find some mention of a Teradata sql dialect and its "all parallel" approach. Some things were not directly applicable to Teradata, like the equivalence of "distinct" and "group by" keywords, that may have different execution plan on Teradata.
All in all I give this excellent book a 4 stars as a must read for anybody interested in getting his data management skills on a much higher level. If you have a problem that looks similar to the topics discussed in this book, you will certainly profit from reading too.




