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<title>Berkeley DB Reference Guide: An introduction to data management</title>
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<td><dl><dt>Berkeley DB Reference Guide:<dd>Introduction</dl></td>
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An introduction to data management
Cheap, powerful computing and networking have created countless new
applications that could not have existed a decade ago. The advent of the
World-Wide Web, and its influence in driving the Internet into homes and
businesses, is one obvious example. Equally important, though, is the
shift from large, general-purpose desktop and server computers toward
smaller, special-purpose devices with built-in processing and
communications services.
As computer hardware has spread into virtually every corner of our
lives, of course, software has followed. Software developers today are
building applications not just for conventional desktop and server
environments, but also for handheld computers, home appliances,
networking hardware, cars and trucks, factory floor automation systems,
and more.
While these operating environments are diverse, the problems that
software engineers must solve in them are often strikingly similar. Most
systems must deal with the outside world, whether that means
communicating with users or controlling machinery. As a result, most
need some sort of I/O system. Even a simple, single-function system
generally needs to handle multiple tasks, and so needs some kind of
operating system to schedule and manage control threads. Also, many
computer systems must store and retrieve data to track history, record
configuration settings, or manage access.
Data management can be very simple. In some cases, just recording
configuration in a flat text file is enough. More often, though,
programs need to store and search a large amount of data, or
structurally complex data. Database management systems are tools that
programmers can use to do this work quickly and efficiently using
off-the-shelf software.
Of course, database management systems have been around for a long time.
Data storage is a problem dating back to the earliest days of computing.
Software developers can choose from hundreds of good,
commercially-available database systems. The problem is selecting the
one that best solves the problems that their applications face.
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