Social Media Analysis through Big Data Using Map Reduce Algorithm

Authors

  • S. Lingeswari Assistant Professor, Department of Computer Science, P.K.R. Arts College for Women, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2019.8.S1.2017

Keywords:

Big Data, Hadoop, Map Reduce, Social media

Abstract

Few years back the Internet usage was very low when compared now-a-days. It has become a very important part in our day to day life. Billions of people are using social media and social networking every day all over the world. Such a huge number of people generate a large number of data which have become a quite difficult to manage. Here solving these types of problem by using a term called Big Data. It refers to the huge number of datasets. Data may be structured, unstructured or semi structured. Big data is defined by three Vs such as Volume, Velocity and Variety. Big Data use an algorithm known as Map Reduce algorithm. Large number of datasets is very difficult to manage. This problem has been solved using Map Reduce algorithm. In this paper, we focus to analyze social media through big data using Map Reduce algorithm.

References

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Published

12-01-2019

How to Cite

Lingeswari, S. (2019). Social Media Analysis through Big Data Using Map Reduce Algorithm. Asian Journal of Computer Science and Technology, 8(S1), 1–3. https://doi.org/10.51983/ajcst-2019.8.S1.2017