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Analysing Cascading over MapReduce

Author Affiliations

  • 1Big Data Analyst and Independent Researcher, Delhi, India

Res. J. Computer & IT Sci., Volume 4, Issue (9), Pages 1-4, September,20 (2016)


In recent years Big Data has grown significantly. Hadoop has become a de-facto Big Data technology and Map-Reduce de-facto processing framework. Hadoop with MapReduce performs distributed processing of large data sets in fault tolerant and cost effective manner. Cascading is an abstraction layer upon MapReduce and allows developers to think with reference to tuples and fields. Many business problems can be solved conveniently with tuple rather than MapReduce key-value pair. The paper advocates cascading over MapReduce and illustrates how lengthy tasks in MapReduce are easily done in Cascading supported by a case study.


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