抽象的

Performance Analysis of Query Optimization for Hadoop Applications

Parul Chhabra,Surender Singh

Big Data applications consume the resources at large scale due to huge volume of data. Researchers have developed some solutions to optimize the resource consumption but each scheme was designed to sort out a specific problem. In this paper, impact of query execution was investigated and a optimal solution for query processing was offered. Performance analysis includes various parameters i.e. execution time, battery life, number of processes used. For experimental purpose, MapR sandbox was used.

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