A Study on Big Data analysis Environment
Abstract
The use of electronics to implement IT solutions has generally known about big data since recent century.  IT was use full for compute a vast applications for implementing business processes, its value intention has always became the ability to handle large amounts of data more efficiently, and more accurately than human beings. The purpose of this paper is to implement the performance and measure the capacity of big data solutions, which must be taken into account for such solutions to be viable. This paper gives an overview of big data and the benefits that it offers, describes the performance and capacity aspects which helps to  create big data solutions, and suggests what to be done to implement bigdata in future technology .
References
Lane, J. (2010) “Let’s make science metrics more scientificâ€, Nature 464, 488–489.
Lane, J. & Black, D. (2012) “Overview of the Science of Science Policy Symposiumâ€, J. Pol. Anal. Manage. 31, 598–600.
Largent, M. A. & Lane, J. I. (2012) “Star Metrics and the Science of Science Policyâ€, Review of Policy Research 29, 431–438.
Brenda L. Dietrich, Emily C. Plachy, Maureen F. Norton (2014) “Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analyticsâ€
Martin Oberhofer, Eberhard Hechler Ivan Milman (2014) “Beyond Big Data: Using Social MDM to Drive Deep Customer Insight, IBM Publishers.
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