Comparative Study of Data mining in Big Data & RDBMS

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Nita Maske, Prof. Parul Bhanurkar

Abstract

In performing examination utilizing Hadoop and its different parts, we have attempted to discover the constraints of PIG, MapReduce, Hive and Pig and have arranged future work as indicated by this as it were. Pig programs take additional time in arrangement as these projects are initially changed over into Directed Acyclic diagrams and after that get the information from HDFS. It devours a great deal of time on the grounds that the information in put away just on a solitary name hub server. Essentially in Hive, record designs diminishes the execution of the inquiry execution which can likewise be improved utilizing a component to store the document just in those arrangements which takes less time in information recovery and consumes less storage space with pressure moreover.

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How to Cite
, N. M. P. P. B. (2016). Comparative Study of Data mining in Big Data & RDBMS. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 2(6), 31–33. Retrieved from http://www.ijfrcsce.org/index.php/ijfrcsce/article/view/40
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