An Open Source System for Big Data Warehousing

Nunziato Cassavia, Elio Masciari, Domenico Saccà

Abstract

The pervasive diffusion of new data generation devices has recently caused the generation of massive data flows containing heterogeneous information generated at different rates and having different formats. These data are referred as \emph{Big Data} and require new storage and analysis approaches to be investigated for managing them. In this paper we will describe a system for dealing with massive big data stores. We defined an open source tool that exploits a NoSQL approach for data warehousing in order to offer user am intuitive way to easily query data that could be quite hard to be understood otherwise.

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Paper Citation


in Harvard Style

Cassavia N., Masciari E. and Saccà D. (2017). An Open Source System for Big Data Warehousing . In - KomIS, ISBN , pages 0-0. DOI: 10.5220/0006485703060313


in Bibtex Style

@conference{komis17,
author={Nunziato Cassavia and Elio Masciari and Domenico Saccà},
title={An Open Source System for Big Data Warehousing},
booktitle={ - KomIS,},
year={2017},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006485703060313},
isbn={},
}


in EndNote Style

TY - CONF
JO - - KomIS,
TI - An Open Source System for Big Data Warehousing
SN -
AU - Cassavia N.
AU - Masciari E.
AU - Saccà D.
PY - 2017
SP - 0
EP - 0
DO - 10.5220/0006485703060313