000			a
999			_c16564 _d16564
003			OSt
005			20220408095406.0
008			220408b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_916334 _aP, Santiya
245			_aBig Data Engineering
250			_aVol.8(1), Jan-Jun
260			_aNagercoli _bi-manager's _c2021
300			_a35-43p.
520			_a recent years, Big Data applications have grown increasingly significant. Businesses are now aware of the massive amounts of data they collect daily. They also believe that when Big Data is analysed, it can yield more useful information. It is tough to analyse Big Data because of its vast volume and unstructured format. Much work has been done to address the complicated Big Data concerns. As a result, a variety of distribution systems and technologies have emerged. This paper offers a review of recent Big Data technologies that have been developed in recent times. Its goal is to assist users in selecting and implementing the optimum combination of Big Data technologies based on their technology demands and specific application requirements. It not only gives a broad overview of major Big Data technologies, but it also compares them across several system layers, such as the Data Storage Layer, Data Processing Layer, Data Querying Layer, Data Access Layer, and Management Layer. It categorises and examines the essential features, benefits, limitations, and applications of various technologies.
650		0	_94622 _aComputer Engineering
700			_916335 _aV, Dhanakoti
773	0		_x 2349-6835 _ti-manager's journal on cloud computing (JCC) _dNagercoil i-manager Publication
856			_uhttps://imanagerpublications.com/article/18456/ _yClick here
942			_2ddc _cAR