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