Blending OLAP Processing with Real-Time Data Streams | SpringerLink
Skip to main content
Springer Nature Link
Log in

Blending OLAP Processing with Real-Time Data Streams

  • Conference paper
Database Systems for Advanced Applications (DASFAA 2011)

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

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

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)

    Chapter  Google Scholar 

  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

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. José Cecílio
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pedro Martins
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Pedro Furtado
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

  • 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)

Publish with us

Policies and ethics