Open AccessSocial Media Analysis through Big Data Using Map Reduce Algorithm
Author(s) -
S. Lingeswari
Publication year - 2019
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2019.8.s1.2017
Subject(s) - big data , computer science , social media , unstructured data , variety (cybernetics) , focus (optics) , data science , volume (thermodynamics) , the internet , algorithm , data mining , world wide web , artificial intelligence , physics , quantum mechanics , optics
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.