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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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 1MB |
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) |
| Laboratory name: | |
| Statistics: | download |
| Deposited On: | 28 Nov 2019 14:40 |
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