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Metadata-Driven Data Integration

Author
Nadal, S.
Type of activity
Theses
Other related units
Department of Service and Information System Engineering
Defense's date
2019-05-16
URL
http://hdl.handle.net/10803/666947 Open in new window
Abstract
Data has an undoubtable impact on society. Storing and processing large amounts of available data is currently one of the key success factors for an organization. Nonetheless, we are recently witnessing a change represented by huge and heterogeneous amounts of data. Indeed, 90% of the data in the world has been generated in the last two years. Thus, in order to carry on these data exploitation tasks, organizations must first perform data integration combining data from multiple sources to yield ...
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