Academic paper using hadoop

One of the advantages of cloud computing is its ability to deal with very large data sets and still have a
reasonable response time. Typically, the map/reduce paradigm is used for these types of problems in
contrast to the RDBMS approach for storing, managing, and manipulating this data. An immediate or
one-time analysis of a large data set does not require designing a schema and loading the data set into
an RDBMS. Hadoop is a widely used open source map/reduce platform. Hadoop Map/Reduce is a
software framework for writing applications which process vast amounts of data in parallel on large
clusters. In this project, you will use the IMDB (International Movies) dataset and develop programs to
get interesting insights into the dataset using Hadoop map/reduce paradigm. Please use the following
links for a better understanding of Hadoop and Map/Reduce
(https://hadoop.apache.org/docs/stable/hadoop-mapreduce-client/hadoop-mapreduce-client-
core/MapReduceTutorial.html)