Big Data: Challenges and Solutions

Authors

  • MA Srinuvasu Dept. of Computer Science and Engineering, Raghu Institute of Technology, JNTUK, Visakhapatnam, INDIA
  • A Koushik Dept. of Computer Science and Engineering, Raghu Institute of Technology, JNTUK, Visakhapatnam, INDIA
  • EB Santhosh Dept. of Computer Science and Engineering, Raghu Institute of Technology, JNTUK, Visakhapatnam, INDIA

DOI:

https://doi.org/10.26438/ijcse/v5i10.250255

Keywords:

Big Data, Hadoop, Map Reduce, YARN

Abstract

Big data is huge amount of data which is beyond the processing capacity of conventional data base systems to manage and analyze the data in a specific time interval. The data is too big to store and processed by a single machine. New innovative methods are necessary to process and store large volumes of data. This paper endows with overview of big data, its size, nature, 12Vs of Big data and some technologies to handle it

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Published

2025-11-12
CITATION
DOI: 10.26438/ijcse/v5i10.250255
Published: 2025-11-12

How to Cite

[1]
M. Srinuvasu, A. Koushik, and E. Santhosh, “Big Data: Challenges and Solutions”, Int. J. Comp. Sci. Eng., vol. 5, no. 10, pp. 250–255, Nov. 2025.

Issue

Vol. 5 No. 10 (2017): IJCSE October Edition

Section

Review Article

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