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Journal of Data Processing

Processing of Business Intelligence using Hadoop Framework

Borivoje Milosevic, Srdjan Jovkovic, Marko Jankovic
College of Applied Technical Sciences University Nis A. Medvedeva 20, Nis 18000, Serbia

Abstract: To ensure the distributed processing of big data volume, we have developed the Hadoop software with the help of the programming interfaces. To identify the failure if any during the application level, we have designed to receive signals. With the help of MapReduce program model, we have developed the Hadoop framework for the processing of unstructured data. This work detailed the distributed file system for Hadoop file system.

Keywords: Big Data, Hadoop, MapReduce, Hadoop Distributed Filesystem, Java Virtual Machine Processing of Business Intelligence using Hadoop Framework

DOI:https://doi.org/10.6025/jdp/2020/10/4/105-111

Full_Text PDF 476 KB Download: 172 times

References:

[1] CS246: Mining Massive Datasets, Hadoop Tutorial, January 12, 2016, New York.
[2] A. Hammad, A. García, Hadoop tutorial, Karlsruhe Institut of Technology, SSC, | September, 2014, Germany.
[3] Dhruba Borthakur, HDFS Architecture Guide, Copyright © 2008 The Apache Software Foundation.
[4] Amr Awadallah, Introducing Apache Hadoop: The Modern Data Operating System, Stanford EE380 Computer Systems, 2011, California, USA.
[5] Diana MacLean for CS448G, 2011, A Very Brief Introduction to MapReduce, http://labs.google.com/papers/mapreduce.html
[6] MapReduce by examples, https://github.com/andreaiacono/MapReduce
[7] Ivan Validzi, Primena paralelne obrade u analizi društvenih mreÃ…Â¾a, Fakultet elektronike i raunarstva, Zagreb, Croatia, 2015.
[8] Borivoje Miloševi, Danica Miloševi, In Memory baze podataka, Zbornik Radova, Visoka Tehnika ‘kola Strukovnih Studija -NI‘, 2015.

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