Big Data Analytics


Distributed processing frameworks have emerged as a feasible and cost effective way of analyzing the increasing volume of data. This course provides a solid understanding of two of the most popular of distributed processing frameworks - Hadoop and a more recent incarnation called Spark. Examples and hands-on exercises will prepare those taking this course to be able to apply these frameworks in practice.

1. Students are able to solve big data problems using MAP-reduce Framework.
2. Students are able to solve big data analytics problems using Spark Framework.
3. Students are able to analyze performance of a problem implemented in map-reduce framework.

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