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Vol. 7, June, Issue 6

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BIG DATA ANALYTICS :A SURVEY

Abstract

Abstract: We are now in the era of massive automatic datacollection, systematically obtaining many measurements, not knowing which onewill be relevant to the phenomenon of interest. For example, E-commercetransactions include activities such as online buying, selling or investing.Thus they generate the data which are high in dimensional and complex instructure. The traditional data storage techniques are not adequate to storeand analyses those huge volume of data The term big data arose under theexplosive increase of global data as a technology that is able to store andprocess big and varied volumes of data, providing both enterprises and sciencewith deep insights over its clients/experiments. The aim is to provide theoverview of the big data analytics , popular tools being currently used fordata analytics and various technologies related with Big Data like Cloudcomputing  which provides an apt platformfor big data analytics in view of the storage and computing requirements of thelatter. Also understanding the big data analytics options available in the AWScloud by providing an overview of services

Keywords– Big data, bigdata analytics tools, Cloud based Big Data Analytics-AWS


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Computer Science ,Electronics, Electrical  Engineering Information Technology, Civil, Computer Science and Engineering , Mechanical, Mechanical-Sandwich Petroleum, Production Instrumentation & Control, Automobile ,Chemical, Electronics Instrumentation& Control, Electronics & Telecommunication  Submit paper at oaijse@gmail.com

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Department of Civil Engineering, Amity University Haryana,




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