Big Data Analysis using Apache Hadoop and Spark
K. Sharmila1, S. Kamalakkannan2, R. Devi3, C. Shanthi4
1Dr K.Sharmila, Associate Professor, Department of Computer Science, Vels Institute of Science, Technology &Advanced Studies, Chennai.
2Dr.S.Kamalakkannan, Associate Professor, Department of Computer Science, Vels Institute of Science, Technology &Advanced Studies, Chennai.
3R.Devi, Associate Professor, Department of Computer Science, Vels Institute of Science, Technology &Advanced Studies, Chennai.
4Dr.C.Shanthi, Associate Professor, Department of Computer Science, Vels Institute of Science, Technology &Advanced Studies, Chennai.
Manuscript received on 04 March 2019 | Revised Manuscript received on 09 March 2019 | Manuscript published on 30 July 2019 | PP: 167-170 | Volume-8 Issue-2, July 2019 | Retrieval Number: A2128058119/19©BEIESP | DOI: 10.35940/ijrte.A2128.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Index Terms: Apache Hadoop, Big Data, Spark..
Scope of the Article: Big Data Analytics