Review Paper on Big Data Analytics in Cloud Computing
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2017 by IJCTT Journal | ||
| Volume-49 Number-3 |
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| Year of Publication : 2017 | ||
| Authors : Saneh Lata Yadav, Asha Sohal |
Saneh Lata Yadav, Asha Sohal "Review Paper on Big Data Analytics in Cloud Computing". International Journal of Computer Trends and Technology (IJCTT) V49(3):156-160, July 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Cloud computing is a most powerful technology which performs massive-scale and complex computing. It eliminates the requirement to maintain costly computing hardware, dedicated space requirement and related software. Massive growth in the scale of data or big data generated through cloud computing has been identified. Concept of big data is a challenging and time-demanding task that requires a large computational space to ensure successful data processing and analysis. This paper includes definition, characteristics, and classification of big data along with some discussions on cloud computing are introduced. The similarities between big data and cloud computing, big data storage systems, several big data processing techniques and Hadoop technology are also discussed. The term ‘Big Data’ defines innovative techniques and technologies to capture, store, distribute, manage and analyze petabyte-or larger-sized datasets with high-velocity and different structures. Big data may be structured, unstructured or semi-structured, resulting in incapability of conventional data management methods. Data can be generated from various relevant sources and can store in the system at various rates. In order to analyze these large amounts of data in an inexpensive and efficient way, parallelism technique is used. 2015 was the year that Big Data went from being something that a majority of organizations were either doing or at the very least actively considering. The growth of cloud-based Big Data services has made Big Data analytics a feasible reality for organizations of all sizes.
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Keywords
Big Data, Big Data Analytics, Map Reduce, Hadoop.