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Volume & Issue no: Volume 3, Issue 9, September 2014

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Title:
Alternatives to HIVE SQL in Hadoop File Structure
Author Name:
Ms. Arpana Chaturvedi , Ms. Poonam Verma
Abstract:
ABSTRACT Trends face ups and lows .In the present scenario the social networking sites have been in the vogue. The data that is available from such enterprises or research enterprises are in petabytes , which result in the information explosion. However this data is raw and unstructured. The main reason to get data was to exploit it for the profitable purposes. This data are structured through a Hadoop , which is a free Java programming framework that restructures it appropriately and provides the base for the data mining processes. This framework is applicable on the large datasets. The approach utilized by Hadoop uses distributed file systems which in this information era, has helped to reduce the catastrophic failure caused by the inoperation of the nodes in the system. In this article, we would like to discuss the framework of the Hadoop and the challenges faced by it. Moreover, over the past few years , there has been considerable research on its challenges and therefore many alternatives have been proposed , which will be also discussed hereby. Keywords:- HDFS ,HIVE, SQL queries
Cite this article:
Ms. Arpana Chaturvedi , Ms. Poonam Verma , " Alternatives to HIVE SQL in Hadoop File Structure" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 9, September 2014 , pp. 190-194 , ISSN 2319 - 4847.
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