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arXiv · 1909.09377

Metadata Systems for Data Lakes: Models and Features

Pegdwendé Sawadogo·Etienne Scholly·Cécile Favre·Eric Ferey·Sabine Loudcher·Jérôme Darmont
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Abstract

Over the past decade, the data lake concept has emerged as an alternative to data warehouses for storing and analyzing big data. A data lake allows storing data without any predefined schema. Therefore, data querying and analysis depend on a metadata system that must be efficient and comprehensive. However, metadata management in data lakes remains a current issue and the criteria for evaluating its effectiveness are more or less nonexistent.In this paper, we introduce MEDAL, a generic, graph-based model for metadata management in data lakes. We also propose evaluation criteria for data lake metadata systems through a list of expected features. Eventually, we show that our approach is more comprehensive than existing metadata systems.

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Pegdwendé Sawadogo, Etienne Scholly, Cécile Favre, Eric Ferey, Sabine Loudcher, Jérôme Darmont. 2019-09-20. Metadata Systems for Data Lakes: Models and Features. https://doi.org/10.1007/978-3-030-30278-8

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