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big-data---mapreduce-word-count-and-co-occurences-for-nba-teams-data-using-hadoop.and-visualisation's Introduction

Big Data - MapReduce program and Visualisation for Word count and Word co-occurence for data on NBA teams, using Hadoop.

  1. Part 1 - Collecting data on NBA teams from 3 different sources: NY Times, Twitter and Common Crawler using APIs
  2. Part 2 - MapReduce program for calculating Word Count on sample data, using Apache Hadoop.
  3. Part 3 - MapReduce programs for calculating Word Count and Word Co-occurence for the NBA data collected from all 3 sources, using Apache Hadoop. Plus Visualizations of these results using d3.js. And comparision of the visualizations from all 3 sources for similarity.
  4. Website - A website to view all the visualizations in a easier way.

big-data---mapreduce-word-count-and-co-occurences-for-nba-teams-data-using-hadoop.and-visualisation's People

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