Author/Authors :
kaya, mustafa ondokuz mayıs üniversitesi - bafra meslek yüksekokulu, Samsun, Türkiye , aydoğan, tuncay ondokuz mayıs üniversitesi - bafra meslek yüksekokulu, Samsun, Türkiye
Title Of Article :
A PERFORMANCE COMPARISON BETWEEN HADOOP MAP / REDUCE AND CLASSIC TECHNIQUES OF TEXT DATA
Abstract :
Nowadays, it is very important to process the huge amount of information obtained in parallel with the rapid development of technology. Different software tools are developed for analysis of these Big Data. Hadoop, is one of the systems used in big data processing, is a system that processes big data on a cluster consisting of ordinary computers instead of high cost computers and its usage is widespread. In this study, the working performance of the other application developed in Java language with an application developed using Hadoop Map / Reduce technique for word counting has been demonstrated in terms of processing time. It has been seen that Hadoop application processes 1.000.000 words 481 times faster than Java application.
NaturalLanguageKeyword :
Hadoop , Map , Reduce , data analysis
JournalTitle :
Sdu International Technologic Science
