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Study of HIVE Tool for Big Data used in Facebook


Chandole N. S. , FTCCOER; Kulkarni C. S., FTCCOER; Surwase M. D., FTCCOER; Ms. Shelake S.M, FTCCOER


HIVE, Facebook, Apache Hadoop


The time period ‘massive information’ is used for collections of large datasets that encompass big extent, excessive velocity, and a diffusion of data that is increasing day by day. The usage of traditional facts control systems, it is hard to technique huge data. Consequently, the Apache software basis brought a framework known as Hadoop to resolve huge statistics control and processing challenges. Apache Hive is a widely used records warehouse machine for Apache Hadoop, and has been followed via many companies for various huge statistics analytics programs. carefully running with many customers and companies, we have identified several shortcomings of Hive in its document formats, query making plans, and question execution, which are key factors determining the performance of Hive to be able to make Hive continuously fulfill the requests and requirements of processing an increasing number of excessive volumes information in a scalable and efficient way, we have set desires related to storage and runtime overall performance in our efforts on advancing Hive.

Other Details

Paper ID: IJSRDV5I30070
Published in: Volume : 5, Issue : 3
Publication Date: 01/06/2017
Page(s): 21-23

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