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SQL is an interactive query language that gives users ad hoc access to stored data. Using SQL interactively, a user can get answers even to complex questions in minutes or seconds, in sharp contrast to the days or weeks it would take for a programmer to write a custom report program. Because of the SQL ad hoc query power, data is more accessible and can be used to help an organization make better, more informed decisions. SQL s ad hoc query capability was an important advantage over nonrelational databases early in its evolution and more recently has continued as a key advantage over pure object-based databases.
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SQL is also a database language used by programmers to write applications that access a database. The same SQL statements are used for both interactive and programmatic access, so the database access parts of a program can be tested first with interactive SQL and then embedded into the program. In contrast, nonrelational or object-oriented databases provided one set of tools for programmatic access and a separate query facility for ad hoc requests, without any synergy between the two modes of access.
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Using SQL, the creator of a database can give different users of the database different views of its structure and contents. For example, the database can be constructed so that each user sees data only for his or her department or sales region. In addition, data from several different parts of the database can be combined and presented to the user as a simple row/ column table. SQL views can thus be used to enhance the security of a database and to tailor it to the particular needs of individual users while preserving the fundamental row/column structure of the data.
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SQL was first developed as an ad hoc query language, but its powers now go far beyond data retrieval. SQL provides a complete, consistent language for creating a database, managing its security, updating its contents, retrieving data, and sharing data among many concurrent users. SQL concepts that are learned in one part of the language can be applied to other SQL commands, making users more productive.
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Using SQL, the structure of a database can be changed and expanded dynamically, even while users are accessing database contents. This is a major advance over static data definition languages, which prevented access to the database while its structure was being changed. SQL thus provides maximum flexibility, allowing a database to adapt to changing requirements while online applications continue uninterrupted.
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1:
Introduction
Client/Server Architecture
SQL is a natural vehicle for implementing applications using a distributed, client/server architecture. In this role, SQL serves as the link between front-end computer systems optimized for user interaction and back-end systems specialized for database management, allowing each system to do what it does best. SQL also allows personal computers to function as front-ends to network servers or to larger minicomputer and mainframe databases, providing access to corporate data from personal computer applications.
PART I
Enterprise Application Support
The largest enterprise applications that support the daily operation of large companies and organizations all use SQL-based databases to store and organize their data. In the 1990s, driven by the impending deadline for supporting dates in the year 2000 and beyond (the so-called Y2K problem), large enterprises moved en masse to abandon their homegrown systems and convert to packaged enterprise applications from vendors like SAP, Oracle, PeopleSoft, Siebel, and others. The data processed by these applications (orders, sales amounts, customers, inventory levels, payment amounts, etc.) tends to have a structured, records-and-fields format, which converts easily into the row/column format of SQL. By constructing their applications to use enterprise-class SQL databases, the major application vendors eliminated the need to develop their own data management software and benefited from existing tools and programming skills. Because every major enterprise application requires a SQL-based database for its operation, new sales of enterprise applications automatically generate drag-along demand for new copies of database software.
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