Social Media Analysis through Big Data Using Map Reduce AlgorithmAuthor : S. Lingeswari
Volume 8 No.1 Special Issue:February 2019 pp 1-3
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.
Big Data, Hadoop, Map Reduce, Social media
 Blokdijk Gearad, Big Data Analytics – Simple steps to Win, Insights and Opportunities for Maxing out Success, Complete publishing.
 DT Editorial Services, Big Data, Black: Covers Hadoop 2, Map Reduce, Hive, Yarn, Pig, R and Data Visualization, Paperback, 2016.
 David Loshin, Big Data Analytics, Morgon Kaufmann.
 Judith Hurwitz, Big Data for Dummies, Wiley Publishers.
 Dirk DeRoos, Paul C. Zikopoulos, Roman B.Melnyk, Phd., Bruce Rrown, Rafael Coss, Hadoop for Dummies, Wiley Publishers.
 Robert D. Schneider, “Hadoop for Dummies, John Wiley & Sons publishers, Canada, 2012.
 Social media Website, [Online] Available at: https://smallbiz trends.com/2016/05/popular-social-media-sites.html.