Big Data Analytics: A Preliminary Study of Open Source Platforms

Jorge Nereu, Ana Almeida, Jorge Bernardino

Abstract

Nowadays organizations look for Big Data as an opportunity to manage and explore their data with the objective to support decisions within its different operational areas. Therefore, it is necessary to analyse several concepts about Big Data Analytics, including definitions, features, advantages and disadvantages. By investigating today's big data platforms, current industrial practices and related trends in the research world, it is possible to understand the impact of Big Data Analytics on smaller organizations. This paper analyses the following five open source platforms for Big Data Analytics: Apache Hadoop, Cloudera, Spark, Hortonworks, and HPCC.

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Paper Citation


in Harvard Style

Nereu J., Almeida A. and Bernardino J. (2017). Big Data Analytics: A Preliminary Study of Open Source Platforms . In Proceedings of the 12th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-262-2, pages 435-440. DOI: 10.5220/0006470104350440


in Bibtex Style

@conference{icsoft17,
author={Jorge Nereu and Ana Almeida and Jorge Bernardino},
title={Big Data Analytics: A Preliminary Study of Open Source Platforms },
booktitle={Proceedings of the 12th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2017},
pages={435-440},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006470104350440},
isbn={978-989-758-262-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Big Data Analytics: A Preliminary Study of Open Source Platforms
SN - 978-989-758-262-2
AU - Nereu J.
AU - Almeida A.
AU - Bernardino J.
PY - 2017
SP - 435
EP - 440
DO - 10.5220/0006470104350440