The aim of query processing is to find information in one or
more databases and deliver it to the user quickly and efficiently.
Traditional techniques work well for databases with standard,
single-site relational structures, but databases containing more
complex and diverse types of data demand new query processing and
optimization techniques.
Most real-world data is not well structured. Today's databases
typically contain much non-structured data such as text, images,
video, and audio, often distributed across computer networks. In
this complex milieu
(typified by the world wide Web), efficient and accurate query
processing becomes quite challenging.
Principles of Database Query Processing for Advanced
Applications teaches the basic concepts and techniques of query
processing and optimization for a variety of data forms and
database systems, whether structured or unstructured.
* This is the only reference work that covers query processing and
optimization techniques for structured and unstructured data,
written with the non-expert in mind, with a minimum of mathematical
details.
* This book teaches query processing techniques for multimedia,
object-oriented, deductive, parallel, and distributed databases, as
well as heterogeneous multidatabase systems, fuzzy relational
databases, and
techniques for different types of unstructured data.
* Each chapter contains examples, tables and figures, class
exercises, and a detailed bibliography.
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