Towards a Data Warehouse Architecture for Managing Big Data Evolution

Darja Solodovnikova, Laila Niedrite

2018

Abstract

The problem of designing data warehouses in accordance with user requirements and adapting its data and schemata to changes in these requirements as well as data sources has been studied by many researchers worldwide in the context of relational database environments. However, due to the emergence of big data technologies and the necessity to perform OLAP analysis over big data, innovative methods must be developed also to support evolution of data warehouse that is used to analyse big data. Therefore, the main objective of this paper is to propose a data warehousing architecture over big data capable of automatically or semi-automatically adapting to user needs and requirements as well as to changes in the underlying data sources.

Paper Citation

in Harvard Style

Solodovnikova D. and Niedrite L. (2018). Towards a Data Warehouse Architecture for Managing Big Data Evolution.In Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-318-6, pages 63-70. DOI: 10.5220/0006886100630070

in Bibtex Style

@conference{data18,
author={Darja Solodovnikova and Laila Niedrite},
title={Towards a Data Warehouse Architecture for Managing Big Data Evolution},
booktitle={Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2018},
pages={63-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006886100630070},
isbn={978-989-758-318-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Towards a Data Warehouse Architecture for Managing Big Data Evolution
SN - 978-989-758-318-6
AU - Solodovnikova D.
AU - Niedrite L.
PY - 2018
SP - 63
EP - 70
DO - 10.5220/0006886100630070