Big Data Management, Technologies, and Applications
| AUTHOR | Kaabouch, Naima; Hu, Wen-Chen; Hu, Valerie Ed et al. |
| PUBLISHER | Information Science Reference (10/31/2013) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere. Therefore, alternative management and processing methods have to be created to handle this complex and unstructured data size. Big Data Management, Technologies, and Applications discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data. With its prevalence, this collection of articles on big data methodologies and technologies are beneficial for IT workers, researchers, students, and practitioners in this timely field.
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Product Format
Product Details
ISBN-13:
9781466646995
ISBN-10:
1466646993
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
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Page Count:
342
Carton Quantity:
7
Product Dimensions:
8.50 x 1.13 x 11.00 inches
Weight:
3.22 pound(s)
Feature Codes:
Bibliography,
Index,
Illustrated
Country of Origin:
US
Subject Information
BISAC Categories
Computers | System Administration - Storage & Retrieval
Computers | Data Science - Data Warehousing
Computers | Information Management
Dewey Decimal:
005.74
Library of Congress Control Number:
2013027713
Descriptions, Reviews, Etc.
publisher marketing
Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere. Therefore, alternative management and processing methods have to be created to handle this complex and unstructured data size. Big Data Management, Technologies, and Applications discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data. With its prevalence, this collection of articles on big data methodologies and technologies are beneficial for IT workers, researchers, students, and practitioners in this timely field.
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Editor:
Hu, Wen-Chen
Dr. Wen-Chen Hu received a B.E. degree in Computer Science from Tamkang University, Taiwan, in 1984, an M.E. degree in Electronic and Information Engineering from the National Central University, Taiwan, in 1986, an M.S. degree in Computer Science from the University of Iowa, Iowa City, in 1993, and a Ph.D. in Computer and Information Science and Engineering from the University of Florida, Gainesville, in 1998. He is currently an assistant professor in the Department of Computer Science, University of North Dakota. His research interests are in the World Wide Web research and applications including information retrieval, especially electronic and mobile commerce, search engines, data mining, and databases.
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List Price $175.00
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