Effective Visual Big Data Processing with Machine Learning Methodologies
B Kranthi Kiran
B Kranthi Kiran, Associate Professor, Department of CSE, JNTUH University, Kukatpally Hyderabad (Telangana), India.
Manuscript received on 13 October 2019 | Revised Manuscript received on 27 October 2019 | Manuscript Published on 26 December 2019 | PP: 1148-1152 | Volume-8 Issue-12S October 2019 | Retrieval Number: K131610812S19/2019©BEIESP | DOI: 10.35940/ijitee.K1316.10812S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Development of high web utilization made business procedures in a difficult manner. In request to dissect the online business un-organized and gigantic measure of information is unimaginable with the Traditional frameworks. Recent innovations propel the strategies for examination are made to break down a lot of the information utilizing the Big Data Techniques, and to improve the adaptability and the precision of investigating the business methodologies, it has actualized on Hadoop with parallel preparing. This paper presents the experimental study on IBM real time data of one lakh records for demonstrating the efficiency of proposed Hadoop based distributed query processing technique.
Keywords: Big Data Techniques, Query Processing, Hadoop, Distributed Processing.
Scope of the Article: Big Data Security