GitHub - mitdbg/aurum-datadiscovery
Webpage version of this documentation: http://mitdbg.github.io/aurum-datadiscovery/ Aurum helps users identify relevant content among multiple data sources that may consist of tabular files, such as CSV, and relational tables. These may be stored in relational database management systems (RDBMS), file systems, and they may live in cloud services, data lakes or other on-premise repositories. Aurum
Sam Madden's Home Page
Samuel Madden MIT College of Computing Distinguished Professor of Computing Email: madden AT csail DOT mit DOT edu Phone: (617)258-6643 Assistant: Felicia Raton (fraton AT mit DOT edu) Room 32-G938 Computer Science and Artificial Intelligence Laboratory (CSAIL) 32 Vassar St. Cambridge, MA 02139 I am the faculty director of the Systems that Learn Initiative and co-direct the Data Systems and AI Lab
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http://raulcastrofernandez.com/papers/sigmod16-workshop-aurum.pdf
North East Database Day, 2019
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Real-time Recommendations using Spark Comcast Labs
