Big Data Analytics and Its Applications
B. Manjulatha1, Suresh Pabboju2
1B. Manjulatha*, Research Scholar, Osmania University, Hyderabad, India.
2Dr. Suresh Pabboju, Head of IT Department, CBIT, Hyderabad, India.
Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 10928-10931 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4456118419/2019©BEIESP | DOI: 10.35940/ijrte.D4456.118419
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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: Big Data plays an important role in today’s environment. As technology is rapidly growing, massive amount of data is being generated from various sources like social media, business organizations, healthcare sector, government sectors, educational institutions, iot applications through sensors and many more. It’s a tremendous task to handle such large amount of data by using relational database management systems. This paper briefly describes about what are the various tools and techniques used to manage the data.
Keywords: Analytical Tools, Big Data, Data Mining Algorithms.
Scope of the Article: Data Mining.