Magda is able to automatically derive and enhance metadata, without the underlying data itself ever being transmitted to a Magda server.
1st-class support for annotate-only (no-hosting) datasets.
Magda is able to automatically derive and enhance metadata, without the underlying data itself ever being transmitted to a Magda server.
1st-class support for annotate-only (no-hosting) datasets.
without the need for the data to actually be stored on Magda itself.
Also this de-duplication even when simply annotating data (not hosting them)
Volume-6 is the most useful of NIST's Big Data reference architecture.
Could the data lead colleges to rethink how they operate to serve students?
Memory Machines and Collective Memory: How We Remember the History of the Future of Technological Change
Using Big Data to Improve Retention and Graduation Rates
‘Precision Education’ Hopes to Apply Big Data to Lift Diverse Student Groups
‘Precision Education’ Hopes to Apply Big Data to Lift Diverse Student Groups