Modern Federated Database Systems: An Overview

Leonardo Azevedo, Elton Soares, Renan Souza, Marcio Moreno

Abstract

Usually, modern applications manipulate datasets with diverse models, usages, and storages. “One size fits all” approaches are not sufficient for heterogeneous data, storages, and schemes. The rise of new kinds of data stores and processing, like NoSQL data stores, distributed file systems, and new data processing frameworks, brought new possibilities to meet this scenario’s requirements. However, semantic, schema and storage heterogeneity, autonomy, and distributed processing are still among the main concerns when building data-driven applications. This work surveys the literature aiming at giving an overview of the state of the art of modern federated database systems. It presents the background, characterizes existing tools, depicts guidelines one should follow when creating solutions, and points out research challenges to consider in future work. This work gives fundamentals for researchers and practitioners in the area.

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Paper Citation


in Harvard Style

Azevedo L., Soares E., Souza R. and Moreno M. (2020). Modern Federated Database Systems: An Overview.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 276-283. DOI: 10.5220/0009795402760283


in Bibtex Style

@conference{iceis20,
author={Leonardo Azevedo and Elton Soares and Renan Souza and Marcio Moreno},
title={Modern Federated Database Systems: An Overview},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={276-283},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009795402760283},
isbn={978-989-758-423-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Modern Federated Database Systems: An Overview
SN - 978-989-758-423-7
AU - Azevedo L.
AU - Soares E.
AU - Souza R.
AU - Moreno M.
PY - 2020
SP - 276
EP - 283
DO - 10.5220/0009795402760283