Provenance of Big Data is a hot-topic in the database and data mining research communities. Basically, provenance is the process of detecting the lineage and the derivation of data and data objects, and it plays a major role in database management systems as well as in workflow management systems and distributed systems. Despite this, provenance of big data research is still in its embryonic phase, and a lot of efforts must still be done in this area. Inspired by these considerations, in this paper we provide an overview of relevant issues and challenges in the context of big data provenance research, by also highlighting possible future efforts within these research directions.

Provenance Research Issues and Challenges in the Big Data Era

CUZZOCREA, Alfredo Massimiliano
2015

Abstract

Provenance of Big Data is a hot-topic in the database and data mining research communities. Basically, provenance is the process of detecting the lineage and the derivation of data and data objects, and it plays a major role in database management systems as well as in workflow management systems and distributed systems. Despite this, provenance of big data research is still in its embryonic phase, and a lot of efforts must still be done in this area. Inspired by these considerations, in this paper we provide an overview of relevant issues and challenges in the context of big data provenance research, by also highlighting possible future efforts within these research directions.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11368/2871924
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