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Blending OLAP Processing with Real-Time Data Streams

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Database Systems for Advanced Applications (DASFAA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6588))

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Abstract

CEP and Databases share some characteristics but traditionally are treated as two separate worlds, one oriented towards real-time event processing and the later oriented towards long-term data management. However many real-time data and business intelligence analysis do need to confront streaming data with long-term stored one. For instance, how do current power consumption and power grid distribution compare with last year’s for the same day?

StreamNetFlux is a novel system that recently emerged to the market designed to integrate CEP and database functionalities. This blending allows the processing of queries that need such capabilities with top efficiency and scalability features.

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References

  1. IBM Research Exploratory Stream Processing Systems, http://domino.research.ibm.com/comm/research_projects.nsf/pages/esps.index.html

  2. Gedik, B., Andrade, H., Wu, K., Yu, P.S., Doo, M.: SPADE: the system s declarative stream processing engine. In: SIGMOD, pp. 1123–1134. ACM, Vancouver (2008)

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  3. TIBCO Business Events, http://www.tibco.com/software/

  4. Truviso Data Analysis, http://truviso.com/products/

  5. Aleri & Coral8, http://www.aleri.com/products/aleri-cep

  6. Streambase, http://www.streambase.com/

  7. Complex Event Processing, http://www.oracle.com/technologies/soa/complex-event-processing.html

  8. Esper Complex Event Processing, http://esper.codehaus.org

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Author information

Authors and Affiliations

  1. Polytechnic of Coimbra, Portugal

    João Costa

  2. University of Coimbra, Coimbra, Portugal

    José Cecílio, Pedro Martins & Pedro Furtado

Authors
  1. João Costa
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  2. José Cecílio
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  3. Pedro Martins
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  4. Pedro Furtado
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Editor information

Editors and Affiliations

  1. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China

    Jeffrey Xu Yu

  2. Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro (373-1 Guseong-don), 305-701, Yuseong-gu, Daejeon, Korea

    Myoung Ho Kim

  3. Institute for Computer Science and Business Information Systems (ICB), University of Duisburg-Essen, Schützenbahn 70, 45117, Essen, Germany

    Rainer Unland

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© 2011 Springer-Verlag Berlin Heidelberg

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Costa, J., Cecílio, J., Martins, P., Furtado, P. (2011). Blending OLAP Processing with Real-Time Data Streams. In: Yu, J.X., Kim, M.H., Unland, R. (eds) Database Systems for Advanced Applications. DASFAA 2011. Lecture Notes in Computer Science, vol 6588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20152-3_36

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  • DOI: https://doi.org/10.1007/978-3-642-20152-3_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20151-6

  • Online ISBN: 978-3-642-20152-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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