A Survey on Data Aggregation in Big Data and Cloud Computing
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2014 by IJCTT Journal|
|Year of Publication : 2014|
|Authors : N.Karthick , X.Agnes Kalarani|
N.Karthick , X.Agnes Kalarani. "A Survey on Data Aggregation in Big Data and Cloud Computing". International Journal of Computer Trends and Technology (IJCTT) V17(1):28-32, Nov 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Cloud computing, rapidly emerging as a new computation concept, offers agile and scalable resource access in a utility-like fashion, particularly for the processing of big data. An important open problem here is to effectively progress the data, from various geographical locations more time, into a cloud for efficient processing. Big Data introduces to datasets whose sizes are beyond the capability of typical database software tools to capture, accumulate, maintain and examined. Big Data is not just about the size of data but also contains data variety and data velocity. Simultaneously, these three attributes known as volume, velocity and variety form the three Vs of Big Data. The application of Big Data differs across verticals since of the several challenges that bring about the various use cases. The principle is that data aggregation is the response to maintaining up with the ever improving demands of big data. Data aggregation is a kind of data and information mining progression where data is explored, collected and presented in a report-based, shortened format to accomplish specific business purposes or processes and/or perform human analysis. Such information aggregation appears with natural issues, such as provision of poor quality, incorrect, inappropriate or fraudulent information. In this survey we discuss various methods of data aggregation in big data and cloud.
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Big Data, Cloud Computing, Data Management, Data Aggregation