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Authors: Qishan Yang and Markus Helfert

Affiliation: Dublin City University, Ireland

ISBN: 978-989-758-182-3

Keyword(s): Data Warehouse Architecture, Three Layers, Hadoop, Hive, HBase.

Abstract: Data warehousing has been accepted in many enterprises to arrange historical data, regularly provide reports, assist decision making, analyze data and mine potentially valuable information. Its architecture can be divided into several layers from operated databases to presentation interfaces. The data all around the world is being created and growing explosively, if storing data or building a data warehouse via conventional tools or platforms may be time-consuming and exorbitantly expensive. This paper will discuss a three-layered data warehousing architecture in a big data platform, in which the HDFS (Hadoop Distributed File System) and the MapReduce mechanisms have been being leveraged to store and manipulate data respectively.

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Paper citation in several formats:
Yang, Q. and Helfert, M. (2016). Revisiting Arguments for a Three Layered Data Warehousing Architecture in the Context of the Hadoop Platform.In Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 2: CLOSER, ISBN 978-989-758-182-3, pages 329-334. DOI: 10.5220/0005912703290334

@conference{closer16,
author={Qishan Yang. and Markus Helfert.},
title={Revisiting Arguments for a Three Layered Data Warehousing Architecture in the Context of the Hadoop Platform},
booktitle={Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 2: CLOSER,},
year={2016},
pages={329-334},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005912703290334},
isbn={978-989-758-182-3},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 2: CLOSER,
TI - Revisiting Arguments for a Three Layered Data Warehousing Architecture in the Context of the Hadoop Platform
SN - 978-989-758-182-3
AU - Yang, Q.
AU - Helfert, M.
PY - 2016
SP - 329
EP - 334
DO - 10.5220/0005912703290334

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