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Metadata Management for Data Lakes
Franck Ravat, Yan Zhao

Metadata Management for Data Lakes

Author / Organization:
Science & Mathematics Published 2019 Verification Pending

Overview & Synopsis

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.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Metadata Management for Data Lakes
Author / Organization Franck Ravat, Yan Zhao
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2019
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-137185
Original Source Link Visit Source Page on hal.science »