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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
BigAnalytic:Large-sacle Data Management & Analysis Framework
Authors
  Ebraheem M.Alhaddad,  Fathy E. Eassa

Abstract
With the advance in development of digital devices and increase in Internet access and speed; it has become possible to generate large volum of data, which is known as big data. This big data is characterized by a unique fetures such as huge volum, highe speed of data generation and the diversity of data structures. This big data contains pricious value for decision makers in organizations. To get this pricious value, we need systems that is compatble with the characteristics of big data. In this work, we present an innovative framework for big data management and analysis. BigAnalytic is fetured by the generation of a metadata store which is user to describe the big data and map data generated feom different sources, which in turn facilitates the management of big data. BigAnalytic also featured utilization of software agent for big data analysis. In comparison withe existing data management and analysis systems, BigAnalytic provides a significant performance improvement.

Keywords- Big Data,Agent,Data analysis,Cluster Computing, Data Management,Metadata
Publication Details
Unique Identification Number - IJEDR1802021
Page Number(s) - 111-119
Pubished in - Volume 6 | Issue 2 | April 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Ebraheem M.Alhaddad,  Fathy E. Eassa,   "BigAnalytic:Large-sacle Data Management & Analysis Framework", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 2, pp.111-119, April 2018, Available at :http://www.ijedr.org/papers/IJEDR1802021.pdf
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