Managing Evolution of Heterogeneous Data Sources of a Data Warehouse

Darja Solodovnikova, Laila Niedrite, Lauma Svilpe

2021

Abstract

The evolution of heterogeneous integrated data sources has become a topical issue as data nowadays is very diverse and dynamic. For this reason, novel methods are necessary to collect, store and analyze data from various data sources as efficiently as possible, while also handling changes in data structures that have occurred as a result of evolution. In this paper, we propose a solution to problems caused by evolution of integrated data sources and information requirements for the data analysis system. Our solution incorporates an architecture that allows to perform OLAP operations and other kinds of analysis on integrated big data and a mechanism for detecting and automatically or semi-automatically propagating changes occured in heterogeneous data sources to a data warehouse.

Paper Citation

in Harvard Style

Solodovnikova D., Niedrite L. and Svilpe L. (2021). Managing Evolution of Heterogeneous Data Sources of a Data Warehouse. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-509-8, pages 105-117. DOI: 10.5220/0010496601050117

in Bibtex Style

@conference{iceis21,
author={Darja Solodovnikova and Laila Niedrite and Lauma Svilpe},
title={Managing Evolution of Heterogeneous Data Sources of a Data Warehouse},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2021},
pages={105-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010496601050117},
isbn={978-989-758-509-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Managing Evolution of Heterogeneous Data Sources of a Data Warehouse
SN - 978-989-758-509-8
AU - Solodovnikova D.
AU - Niedrite L.
AU - Svilpe L.
PY - 2021
SP - 105
EP - 117
DO - 10.5220/0010496601050117