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Handbook of Research on Innovative Database Query Processing Techniques

$335.00
| £276.95 | €317.64 | Ca$455.93 | Au$445.47
by Li Yan
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Handbook of Research on Innovative Database Query Processing Techniques by Li Yan

Research and development surrounding the use of data queries is receiving increased attention from computer scientists and data specialists alike. Through the use of query technology, large volumes of data in databases can be retrieved, and information systems built based on databases can support problem solving and decision making across industries. The Handbook of Research on Innovative Database Query Processing Techniques focuses on the growing topic of database query processing methods, technologies, and applications. Aimed at providing an all-inclusive reference source of technologies and practices in advanced database query systems, this book investigates various techniques, including database and XML queries, spatiotemporal data queries, big data queries, metadata queries, and applications of database query systems. This comprehensive handbook is a necessary resource for students, IT professionals, data analysts, and academicians interested in uncovering the latest methods for using queries as a means to extract information from databases. This all-inclusive handbook includes the latest research on topics pertaining to information retrieval, data extraction, data management, design and development of database queries, and database and XM queries.

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Ebook Details
Pages: 626
Size: 24.5 MB
Publisher: Information Science Reference
Date published:   2015
ISBN: 9781466687684 (DRM-PDF)

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This product is listed in the following categories:

Nonfiction > Computers > Data Processing
Nonfiction > Computers > Database Management
Nonfiction > Computers > Data Modeling & Design

This author has products in the following categories:

Nonfiction > Computers > Information Storage & Retrieval
Nonfiction > Computers > Database Management > Database Mining
Nonfiction > Computers > Data Processing
Nonfiction > Computers > Database Management
Nonfiction > Computers > Data Modeling & Design

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03/23/2017
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