Metadata Management for Data Lakes
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
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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 » |