Data Management Environment with Data Warehousing For Big Data Architecture
Mr. Yannam Apparao , M Pilli Sudheer, Mrs. Kadiyala Laxminarayanamma
Abstract
Big Data are high-volume, high-velocity, and/or highvariety information assets that require new forms of processing to enable enhanced decision making, with extended data warehousing Architecture to the result of management reports, graphs, bar charts ,pie charts can provided, paper provides the repots and formats using extended data warehousing in big data.
[4] Considerations for Big Data: Architecture and Approach by Kapil Bakshi – Paper published in IEEE
[5] Big Data Analytics by Sachidanand Singh – Paper published in 2012 International Conference on Communication Information & Computing Technology (ICCICT), Oct. 19-20, Mumbai, India
[6] McKinsey Global Institute
[7] http://hadoop.apache.org/
[8] Kimmo Palletvuori, Security of Data Warehousing Server, Helsinki University of Technology
[9] John D. Porter and John J. Rome, Lessons from a Successful Data Warehouse Implementation, Arizona State University
[10] Security and the Data Warehouse, An Oracle White Paper, April 2005
Cites this article as
M. Y. Apparao, M. P. Sudheer, M. K. Laxminarayanamma,
"Data Management Environment with Data Warehousing For Big Data Architecture", International Journal of Innovative Research in Engineering & Management (ijircst), Vol-3, Issue-3, Page No-43-47, 2015. Available from:
Corresponding Author
Mr. Yannam Apparao
Associate Professor, Marri Laxman Reddy Institute of Technology and Management, Dundigal,Quthbullar(M),R.R. District, Telangana-500043.
