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Towards information profiling : data lake content metadata management

Author
Al-serafi, A.; Abello, A.; Romero, O.; Calders, T.
Type of activity
Presentation of work at congresses
Name of edition
3rd Workshop on Data Integration and Applications
Date of publication
2016
Presentation's date
2016-12
Book of congress proceedings
ICDMW 2016: IEEE 16th International Conference on Data Mining Workshops, 12-15 December 2016, Barcelona, Catalonia, Spain
First page
178
Last page
185
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ICDMW.2016.0033 Open in new window
Repository
http://hdl.handle.net/2117/100712 Open in new window
URL
http://ieeexplore.ieee.org/document/7836664/ Open in new window
Abstract
There is currently a burst of Big Data (BD) processed and stored in huge raw data repositories, commonly called Data Lakes (DL). These BD require new techniques of data integration and schema alignment in order to make the data usable by its consumers and to discover the relationships linking their content. This can be provided by metadata services which discover and describe their content. However, there is currently a lack of a systematic approach for such kind of metadata discovery and manage...
Citation
Al-serafi, A., Abello, A., Romero, O., Calders, T. Towards information profiling: data lake content metadata management. A: Workshop on Data Integration and Applications. "ICDMW 2016: IEEE 16th International Conference on Data Mining Workshops, 12-15 December 2016, Barcelona, Catalonia, Spain". Barcelona: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 178-185.
Keywords
Content management, Data lake, Information profiling, Metadata
Group of research
DTIM - Database Technologies and lnformation Management Group
IMP - Information Modelling and Processing
inLab FIB
inSSIDE - integrated Software, Service, Information and Data Engineering

Participants

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