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Database Management Systems

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Database Management Systems

Kenneth K. White

Database Concepts

June 10, 2006

Structured Query Language communicates with databases as a function of a computer language. The communicating ends are normally a "front end" which transmits a SQL Statement transversely to a link to a "back end" that contains the data. That statement has orders to make, interpret, alter or erase data. The general policies of the language have been instituted by the American National Standards Institute; a standards committee comprised of database specialists from industry, academia and software merchants. Thus, the SQL language is not closed, meaning it is not possessed or regulated by any particular corporation.

SQL Server 2005 is a thorough database platform offering enterprise-class data management with built-in business intelligence gears. The SQL Server 2005 database engine gives more protected, dependable storage for both relational and well thought-out data, allowing one to create and run highly available data applications the company can use to take the enterprise to the next height.

The SQL Server 2005 data engine rests at the heart of this enterprise data management solution. Moreover, SQL Server 2005 puts together the best in analysis, reporting, integration, and notification. This allows the group to make and set out cost-efficient business intelligence solutions with which they can steer data into every station of the business via scorecards, dashboards, Web services, and mobile devices.

Close contact with Microsoft Visual Studio, the Microsoft Office System, and a set of new expansion equipment, including the Business Intelligence Development Studio, sets SQL Server 2005 apart. Even if one is a database administrator, developer, decision maker or an information worker, SQL Server 2005 offers pioneering solutions that assist one to acquire more value from your data.

SQL has a great deal of use in Bexar County Information Services like

 Interpret existing data

 Make new records holding data

 Modify existing data

 Erase data

Interpreting data is the most frequent task. An ANSI-SQL statement asking for a directory of names of all affiliates of a society that reside in Colorado can be transmitted



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