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2003 SQL for Dummies (5th Edition) – Allen G. Taylor [PDF] [English]
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SQL for Dummies (5th Edition) – Allen G. Taylor [PDF] [English]

Titulo original SQL for Dummies (5th Edition)

Año

Pais EE.UU., Canadá

Idiomas English

Calidad

Autor

Genero Computing, Microsoft, Office Productivity

Sinopsis de SQL for Dummies (5th Edition) – Allen G. Taylor [PDF] [English] (2003)

Many database management system (DBMS) tools run on a variety of hardware platforms. The differences among the tools can be many, but all serious products have one thing in common: They support data access and manipulation in SQL, the industry-standard language specifically designed to enable people to create and manage databases. If you know SQL, you can build relational databases and get useful information out of them.

Relational database management systems are vital to many organizations. People often think that creating and maintaining these systems are extremely complex activities – the domain of database gurus who possess enlightenment beyond that of ordinary mortals. Well, SQL For Dummies, 5th Edition, sweeps away the database mystique.

Written in easy-to-understand terms and updated with the latest information on SQL, this handy reference shows you step-by-step how to make your database designs a reality using SQL:2003. But you don’t have to be a database newbie to find value in SQL For Dummies, 5th Edition; even if you have some experience designing and creating databases, you may discover a few things you didn’t know about.

Here’s just a sampling of some of the things you’ll find covered in SQL For Dummies, 5th Edition:

Exploring relational database and SQL fundamentals
Building and maintaining a simple database structure
Building a multiple relational database
Manipulating database data
Examining SQL nuts and bolts: values, expressions, operators, and queries
Providing database security and protecting your data
Exploring ODBC and JDBC, and using SQL with XML
Moving beyond the basics: cursors, persistent stored modules, and error-handling
Top Ten lists on common SQL mistakes and retrieval tips

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