Metadata Extraction and Management in Data Lakes With GEMMS
In addition to volume and velocity, Big data is also characterized by its variety. Variety in structure and semantics requires new integration approaches which can resolve the integration challenges also for large volumes of data. Data lakes should reduce the upfront integration costs and provide a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Riga Technical University
2016-12-01
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| Series: | Complex Systems Informatics and Modeling Quarterly |
| Subjects: | |
| Online Access: | https://csimq-journals.rtu.lv/article/view/1548 |