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Metadata Management for Data Lakes

Ravat, Franck and Zhao, Yan Metadata Management for Data Lakes. (2019) In: 23rd East-European Conference on Advances in Databases and Information Systems (ADBIS 2019), 8 September 2019 - 11 September 2019 (Bled, Slovenia).

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Official URL: https://doi.org/10.1007/978-3-030-30278-8_5

Abstract

To prevent data lakes from being invisible and inaccessible to users, an efficient metadata management system is necessary. In this paper, we propose a such system based on a generic and extensible classification of metadata. A metadata conceptual schema which considers different types (structured, semi-structured and unstructured) of raw or processed data is presented. This schema is implemented in two DBMSs (relational and graph) to validate our proposal.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in volume 1064 of CCIS : Communications in Computer and Information Science ISSN: 1865-0929 ISBN 978-3-030-30277-1 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-030-30278-8_5
HAL Id:hal-02397467
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Centre Hospitalier Universitaire de Toulouse - CHU Toulouse (FRANCE)
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Deposited On:28 Nov 2019 14:40

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