Distinctive Advancements in Bigdata Persistence and Processing
Krishnaraj Rajagopal1, Kumar Narayanan2
1Krishnaraj Rajagopal, Research Scholar, Department of Computer science and Engineering Vels Institute of Science, Technology and Advanced Studies, Chennai, India.
2Kumar Narayanan, Associate Professor, Department of Computer science and Engineering Vels Institute of Science, Technology and Advanced Studies, Chennai, India
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 1442-1444 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1247109119/2019©BEIESP | DOI: 10.35940/ijeat.A1247.109119
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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: The Goal of this paper aims to detail the exploration of Big Data and different technology stack to handle and process Big Data to make more insights. In recent years the digit data is growing more and more. There are so many sources of these Big Data like mobiles, videos, social media like facebook/twitter, images, application logs, data generated from the system, etc. We need a special storage and processing system to analyze these Big Data.
Keywords: Big Data, Distributed Data Storage, Distributed Parallel Processing.