2019International Journal of Recent Technology and Engineering (IJRTE)Open access

Big Data Analysis using Apache Hadoop and Spark

Dr.K. Sharmila, Dr.S Kamalakkannan, R. Devi, C. Shanthi

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Abstract

Big Data have increased immense interest in the past few years. Nowadays analyzing Big Data is very common constraint and such chuck really turns into a big challenge to analyze the mass amount of data to get impact and different patterns of information on aconvenient way.Processingthe big data information in a single machine or evento storethese Big Data has become another big challenge of the Big Data. The elucidation for the above constraints is to give out data over large clusters so that Big Data to be analyzed and for storinginformation should beovercome. The article will explore perceptions of Big Data Analysisusing emerging tools of Big Data such as ApacheHadoop and Spark and its performance

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What this paper is about

Big Data have increased immense interest in the past few years. Nowadays analyzing Big Data is very common constraint and such chuck really turns into a big challenge to analyze the mass amount of data to get impact and different patterns of information on aconvenient way.Processingthe big data information in a single machine or evento storethese Big Data has become another big challenge of the Big Data. The elucidation for the above constraints is to give out data over large clusters so that Big Data to be analyzed and for storinginformation should beovercome. The article will explore perceptions of Big Data Analysisusing emerging tools of Big Data such as ApacheHadoop and Spark and its performance

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Big Data have increased immense interest in the past few years. Nowadays analyzing Big Data is very common constraint and such chuck really turns into a big challenge to analyze the mass amount of data to get impact and different patterns of information on aconvenient way.Processingthe big data information in a single machine or evento storethese Big Data has become another big challenge of the Big Data. The elucidation for the above constraints is to give out data over large clusters so that Big Data to be analyzed and for storinginformation should beovercome. The article will explore perceptions of Big Data Analysisusing emerging tools of Big Data such as ApacheHadoop and Spark and its performance

Key concepts: Big data, SPARK (programming language), Computer science, Data science, Data mining, Programming language

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