Open AccessBig Data Analysis using Apache Hadoop and Spark
Author(s) -
Dr K. Sharmila,
Dr.S Kamalakkannan,
R Devi,
Dr.C Shanthi
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.a2128.078219
Subject(s) - big data , spark (programming language) , computer science , data science , data mining , programming language
Big Data have increased immense interest in thepast few years. Nowadays analyzing Big Data is very commonconstraint and such chuck really turns into a big challenge toanalyze the mass amount of data to get impact and differentpatterns of information on aconvenient way.Processingthe bigdata information in a single machine or evento storethese BigData has become another big challenge of the Big Data. Theelucidation for the above constraints is to give out data over largeclusters so that Big Data to be analyzed and forstoringinformation should beovercome. The article will exploreperceptions of Big Data Analysisusing emerging tools of BigData such as ApacheHadoop and Spark and its performance