Data lakes are storage repositories that contain large amounts of data in its native format; either structured ssemi-structured or unstructured, to be used when needed. . . .This survey congregates different facets of metadata management in data lakes and presents a global view along with the technological implications and the required features for building successful metadata management systems. Besides, this survey summarizes and discusses research gaps, open problems and main challenges facing both industrialists and academics.
https://doi.org/10.1080/19386389.2024.2359310
| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |
