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Paper Details
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 - IJEDR1802021Page Number(s) - 111-119Pubished in - Volume 6 | Issue 2 | April 2018DOI (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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