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SQL (Database Programming) (2015 Edition)
by
Chris Fehily
2015 Edition. Perfect for end users, analysts, data scientists, and app developers, this best-selling guide will get you up and running with SQL, the language of databases. You'll find general concepts, practical answers, and clear explanations of what the various SQL statements can do. Hundreds of examples of varied difficulty encourage you to experiment and explore. Full
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Kindle Edition, 424 pages
Published
July 14th 2014
by Questing Vole Press
(first published July 29th 2002)
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(showing 1-30 of 192)

This book is a lesson in good educational design. It was a perfect match, at least, for the way that I learn. That's high praise for a reference book from 2002, but SQL isn't complicated enough to warrant a step-by-step approach and it was more than enough to show me what's possible, how it's generally done, and how to tailor the SQL statements for different DBMS. There were only a few occasions on which I had to scroll down to the 'fine print' in Microsoft's Access documentation to troubleshoot
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It's been 4 or 5 years since I've done anything with SQL, so I was hoping to use this to shake off the rust. Related topics seem to be scattered about rather than grouped together, which makes it difficult to go through from start to finish. Its explanations and examples are also fairly wordy, which makes this difficult to use as a reference. I ended up having to rely on an older SQL book and searching the internet for updates to the language to get back up to speed.

Jul 18, 2015
Eric Brooke
rated it
really liked it
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review of another edition
Shelves:
software-development
A really handy reference and good learning tool.
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“Microsoft SQL Server, Oracle, DB2, and PostgreSQL let you create user-defined types (UDTs). The simplest UDT is a standard or built-in data type (CHARACTER, INTEGER, and so on) with additional check and other constraints. You can define the data type marital_status, for example, as a single-character CHARACTER data type that allows only the values S, M, W, D, or NULL (for single, married, widowed, divorced, or unknown). More-complex UDTs are similar to classes in object-oriented programming languages such as Java or Python. You can define a UDT once and use it in multiple tables, rather than repeat its definition in each table in which it’s used. Search your DBMS documentation for user-defined type. UDTs are created in standard SQL with the statement CREATE TYPE.”
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