Loading

Challenges, Open Research Issues and Tools in Bigdata Analytics
Rajesh Mothe1, S Tharun Reddy2, Kanegonda Ravi Chythanya3, Y Supraja Reddy4

1Rajesh Mothe, Assistant Professor, Department of Computer Science and Engineering, SR Engineering College, Warangal (Telangana), India.
2S Tharun Reddy, Assistant Professor, Department of Computer Science and Engineering, SR Engineering College, Warangal (Telangana), India.
3Kanegonda Ravi Chythanya, Assistant Professor, Department of Computer Science and Engineering, SR Engineering College, Warangal (Telangana), India.
4Y Supraja Reddy, Teaching Assistant, Department of Computer Science and Engineering, SR Engineering College, Warangal (Telangana), India.
Manuscript received on 16 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 2634-2641 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B13200982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1320.0982S1119
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: A large quantity of terabytes of data is produced each day from present day information structures and automated advances. For instance, Internet of Things and cloud computing. Analysis of these huge data takes a remarkable deal of endeavors at specific degrees to extricate understanding for primary leadership. In this way, large information evaluation is a go with the flow territory of revolutionary paintings. The essential goal of this paper is to explore the capability impact of large facts challenges, open research problems, and specific gadgets associated with it. Therefore, this text offers a stage to explore bigdata at various degrees. Also, it opens another skyline for specialists to execute the arrangement, in view of the demanding situations and open studies troubles.
Keywords: Big Data Analytics; Hadoop; Map Reduce; Hadoop Distributed File System.
Scope of the Article: Data Analytics