9780123741370-0123741378-Joe Celko's Thinking in Sets: Auxiliary, Temporal, and Virtual Tables in SQL (The Morgan Kaufmann Series in Data Management Systems)

Joe Celko's Thinking in Sets: Auxiliary, Temporal, and Virtual Tables in SQL (The Morgan Kaufmann Series in Data Management Systems)

ISBN-13: 9780123741370
ISBN-10: 0123741378
Edition: 1
Author: Joe Celko
Publication date: 2008
Publisher: Morgan Kaufmann
Format: Paperback 384 pages
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Book details

ISBN-13: 9780123741370
ISBN-10: 0123741378
Edition: 1
Author: Joe Celko
Publication date: 2008
Publisher: Morgan Kaufmann
Format: Paperback 384 pages

Summary

Joe Celko's Thinking in Sets: Auxiliary, Temporal, and Virtual Tables in SQL (The Morgan Kaufmann Series in Data Management Systems) (ISBN-13: 9780123741370 and ISBN-10: 0123741378), written by authors Joe Celko, was published by Morgan Kaufmann in 2008. With an overall rating of 3.6 stars, it's a notable title among other SQL (Databases & Big Data) books. You can easily purchase or rent Joe Celko's Thinking in Sets: Auxiliary, Temporal, and Virtual Tables in SQL (The Morgan Kaufmann Series in Data Management Systems) (Paperback, Used) from BooksRun, along with many other new and used SQL books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Perfectly intelligent programmers often struggle when forced to work with SQL. Why? Joe Celko believes the problem lies with their procedural programming mindset, which keeps them from taking full advantage of the power of declarative languages. The result is overly complex and inefficient code, not to mention lost productivity.

This book will change the way you think about the problems you solve with SQL programs.. Focusing on three key table-based techniques, Celko reveals their power through detailed examples and clear explanations. As you master these techniques, you’ll find you are able to conceptualize problems as rooted in sets and solvable through declarative programming. Before long, you’ll be coding more quickly, writing more efficient code, and applying the full power of SQL

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