DocumentCode :
3658534
Title :
Provenance Research Issues and Challenges in the Big Data Era
Author :
Alfredo Cuzzocrea
Author_Institution :
ICAR, Univ. of Calabria, Rende, Italy
Volume :
3
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
684
Lastpage :
686
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.
Keywords :
"Big data","Conferences","Databases","Context","Data privacy","Security","Computational modeling"
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference (COMPSAC), 2015 IEEE 39th Annual
Electronic_ISBN :
0730-3157
Type :
conf
DOI :
10.1109/COMPSAC.2015.345
Filename :
7273464
Link To Document :
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