Metadata Quality Dimensions for Big Data Use Cases

Widad Elouataoui, Imane El Alaoui, Youssef Gahi

2021

Abstract

Even though more than two decades have elapsed since the Big data big bang, there are still big data problems that are not addressed. Indeed, the emergence of big data has raised several challenges related to data analysis, data quality, and all activities involving data processing. These challenges have also affected metadata management as a crucial component of big data ecosystems. Thus, many metadata management approaches for big data environments have been suggested recently. However, a metadata management policy could not be effective if the metadata is of low quality. Metadata quality directly impacts data quality and, thus, the reliability of data analysis. Moreover, enhancing metadata quality in big data environments allows optimizing data processing time and cost, one of the biggest concerns of data managers. Thus, this paper aims to contribute to the ongoing discussion regarding metadata quality enhancement. Therefore, we highlight the metadata quality issues raised by the particular characteristics of big data. We then provide recommendations to overcome the presented quality issues and conclude with some possible future work directions.

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Paper Citation


in Harvard Style

Elouataoui W., El Alaoui I. and Gahi Y. (2021). Metadata Quality Dimensions for Big Data Use Cases. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 488-495. DOI: 10.5220/0010737400003101


in Bibtex Style

@conference{bml21,
author={Widad Elouataoui and Imane El Alaoui and Youssef Gahi},
title={Metadata Quality Dimensions for Big Data Use Cases},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={488-495},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010737400003101},
isbn={978-989-758-559-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - Metadata Quality Dimensions for Big Data Use Cases
SN - 978-989-758-559-3
AU - Elouataoui W.
AU - El Alaoui I.
AU - Gahi Y.
PY - 2021
SP - 488
EP - 495
DO - 10.5220/0010737400003101