Managing Evolution of Heterogeneous Data Sources of a Data Warehouse

Darja Solodovnikova; Laila Niedrite; Lauma Svilpe

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Paper

Managing Evolution of Heterogeneous Data Sources of a Data Warehouse

Topics: Big Data; Coupling and Integrating Heterogeneous Data Sources; Data Warehouses and OLAP; Modeling of Distributed Systems; Tools, Techniques and Methodologies for System Development

In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, 105-117, 2021

Authors: Darja Solodovnikova ; Laila Niedrite and Lauma Svilpe

Affiliation: Faculty of Computing, University of Latvia, Raina blvd. 19, Riga, Latvia

Keyword(s): Data Warehouse, Evolution, Change Propagation, Metadata, Big Data.

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.

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Paper citation in several formats:

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; ISSN 2184-4992, SciTePress, pages 105-117. DOI: 10.5220/0010496601050117

@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},
issn={2184-4992},
}

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
IS - 2184-4992
AU - Solodovnikova, D.
AU - Niedrite, L.
AU - Svilpe, L.
PY - 2021
SP - 105
EP - 117
DO - 10.5220/0010496601050117
PB - SciTePress