• 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