Big Data Analytics With Reference To Wide Variety of Domains
Niteesha Sharma1, A. Sriram2, K. S. Reddy3
1Niteesha Sharma, IT Department, Anurag Group of Institutions, Hyderabad, India.
2A. Sriram, IT Department, Anurag Group of Institutions, Hyderabad, India.
3Dr. K. S. Reddy, IT Department, Anurag Group of Institutions, Hyderabad, India.
Manuscript received on 03 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 1100-1104 | Volume-8 Issue-10, August 2019 | Retrieval Number: I8953078919/2019©BEIESP | DOI: 10.35940/ijitee.I8953.0881019
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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: In the current day scenario, a huge amount of data is been generated from various heterogeneous sources like social networks, business apps, government sector, marketing, health care system, sensors, machine log data which is created at such a high speed and other sources. Big Data is chosen as one among the upcoming area of research by several industries. In this paper, the author presents wide collection of literature that has been reviewed and analyzed. This paper emphasizes on Big Data Technologies, Application & Challenges, a comparative study on architectures, methodologies, tools, and survey results proposed by various researchers are presented.
Keywords: Big Data; Big Data Technologies
Scope of the Article: Big Data Analytics Application Systems