• DocumentCode
    2182238
  • Title

    Streaming data integration: Challenges and opportunities

  • Author

    Tatbul, Nesime

  • Author_Institution
    ETH Zurich, Zurich, Switzerland
  • fYear
    2010
  • fDate
    1-6 March 2010
  • Firstpage
    155
  • Lastpage
    158
  • Abstract
    In this position paper, we motivate the need for streaming data integration in three main forms including across multiple streaming data sources, over multiple stream processing engine instances, and between stream processing engines and traditional database systems. We argue that this need presents a broad range of challenges and opportunities for new research. We provide an overview of the young state of the art in this area and further discuss a selected set of concrete research topics that are currently under investigation within the scope of our MaxStream federated stream processing project at ETH Zurich.
  • Keywords
    database management systems; MaxStream; SPE-DBMS integration; SPE-SPE integration; stream processing engine; streaming data source integration; traditional database system; Concrete; Data models; Data processing; Database systems; Engines; Feeds; Joining processes; Monitoring; Pipelines; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops (ICDEW), 2010 IEEE 26th International Conference on
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    978-1-4244-6522-4
  • Electronic_ISBN
    978-1-4244-6521-7
  • Type

    conf

  • DOI
    10.1109/ICDEW.2010.5452751
  • Filename
    5452751