Big Data Management, Technologies, and Applications

Big Data Management, Technologies, and Applications

Indexed In: SCOPUS View 1 More Indices
Release Date: October, 2013|Copyright: © 2014 |Pages: 342
DOI: 10.4018/978-1-4666-4699-5
ISBN13: 9781466646995|ISBN10: 1466646993|EISBN13: 9781466647008
Hardcover:
Available
$175.00
TOTAL SAVINGS: $175.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Hardcover:
Available
$175.00
TOTAL SAVINGS: $175.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
Available
$175.00
TOTAL SAVINGS: $175.00
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
E-Book:
Available
$175.00
TOTAL SAVINGS: $175.00
Benefits
  • Immediate access after purchase
  • No DRM
  • PDF download
  • Receive a 10% Discount on eBooks
Hardcover +
E-Book:
Available
$210.00
TOTAL SAVINGS: $210.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
Hardcover +
E-Book:
Available
$210.00
TOTAL SAVINGS: $210.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Immediate access after purchase
  • No DRM
  • PDF download
OnDemand:
(Individual Chapters)
Available
$37.50
TOTAL SAVINGS: $37.50
Benefits
  • Purchase individual chapters from this book
  • Immediate PDF download after purchase or access through your personal library
Effective immediately, IGI Global has discontinued softcover book production. The softcover option is no longer available for direct purchase.
Description & Coverage
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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Applications Using Big Data
  • Big Data Analytics
  • Big Data Warehousing
  • Cloud Computing for Big Data
  • Green Computing
  • MapReduce and Hadoop Applications
  • Standards, Policies, and Benchmarks
Table of Contents
Search this Book:
Reset
Editor/Author Biographies
Wen-Chen Hu received a PhD in Computer Science from the University of Florida in 1998. He is currently an associate professor in the Department of Computer Science of the University of North Dakota. He is the Editor-in-Chief of the International Journal of Handheld Computing Research (IJHCR), the general chairs of a number of international conferences, and associate editors of several journals. In addition, he has acted more than 100 positions as editors and editorial advisory/review board members of international journals/books, and track/session chairs and program committee members of international conferences. Dr. Hu has been teaching more than 10 years at the US universities and over 10 different computer/IT-related courses, and advising/consulting more than 100 graduate students. He has published over 100 articles in refereed journals, conference proceedings, books, and encyclopedias, and edited more than 10 books and conference proceedings. His current research interests include handheld/mobile/smartphone/tablet computing, location-based services, web-enabled information system such as search engines, electronic and mobile commerce systems, and web technologies.
Naima Kaabouch received her B.S., M.S., and Ph.D. all in Electrical Engineering from the University of Paris 11 and the University of Paris 6, Paris, France, in 1982, 1986, 1990, respectively. She is currently an Assistant Professor, in the Department of Electrical Engineering, University of North Dakota. Dr. Kaabouch's research interests include configurable computing, real time systems, and signal/image processing. She published over 80 articles on refereed journal, proceedings, and books. In the green computing field, she is the co-editod two books. While teaching, she developed and taught several courses in the field of configurable computing and real time systems involving microcontrollers and Field Programmable Gate Array devices-based devices.
Abstracting & Indexing
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.