Data Discovery Problem Statement
draft-mcbride-data-discovery-problem-statement-00

Document Type Expired Internet-Draft (individual)
Authors Mike McBride  , Dirk Kutscher  , Eve Schooler  , Carlos Bernardos  , Diego Lopez 
Last updated 2021-01-11 (latest revision 2020-07-10)
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This Internet-Draft is no longer active. A copy of the expired Internet-Draft can be found at
https://www.ietf.org/archive/id/draft-mcbride-data-discovery-problem-statement-00.txt

Abstract

If data is the new oil of the 21st century, then we need a standardized way of locating, capturing, classifying and transforming this raw data to generate insights and recommendations. Data, like oil, needs to be discovered and captured in order to be refined and valuable. While the topic of data discovery can be far reaching, this document focuses on the problem of actually locating data, throughout a network of data servers, in a standardized way.

Authors

Mike McBride (michael.mcbride@futurewei.com)
Dirk Kutscher (ietf@dkutscher.net)
Eve Schooler (eve.m.schooler@intel.com)
Carlos Bernardos (cjbc@it.uc3m.es)
Diego Lopez (diego.r.lopez@telefonica.com)

(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)