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International Workshop on Business Intelligence for the Real-Time Enterprise

BIRTE 2012: Enabling Real-Time Business Intelligence pp 109–117Cite as

Live Analytics Service Platform

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 154))

Abstract

Business intelligence has traditionally focused on analysis and reporting of structured data extracted from enterprise on-line transaction processing systems. There is an increase in interest in recent years in combining traditional business intelligence with intelligence gleaned from new sources, including many new structured and unstructured data sources inside and outside of enterprises, such as social media data and signals generated by mobile devices.

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References

  1. Castellanos, M., Dayal, U., Hsu, M.: Live Business Intelligence for the Real-Time Enterprise. In: Sachs, K., Petrov, I., Guerrero, P. (eds.) Buchmann Festschrift. LNCS, vol. 6462, pp. 325–336. Springer, Heidelberg (2010)

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  2. Chen, F., Hsu, M.: A Performance Comparison of Parallel DBMSs and MapReduce on Large-Scale Text Analytics. In: EDBT Conference (2013)

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  3. Sax, M.J., Castellanos, M., Chen, Q., Hsu, M.: Performance Optimization for Distributed Intra-Node-Parallel Streaming Systems. In: ICDE SMDB (2013)

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  4. Simitsis, A., Wilkinson, K., Dayal, U., Hsu, M.: HFMS: Managing the Lifecycle and Complexity of Hybrid Analytic Data Flows. In: ICDE Conference (2013)

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  5. Simitsis, A., Wilkinson, K., Castellanos, M., Dayal, U.: Optimizing analytic data flows for multiple execution engines. In: ACM SIGMOD Conference, pp. 829–840 (2012)

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Author information

Authors and Affiliations

  1. HP Labs, Hewlett Packard Co., Palo Alto, California, USA

    Meichun Hsu

Authors
  1. Meichun Hsu
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Editor information

Editors and Affiliations

  1. Hewlett-Packard, Palo Alto, CA, USA

    Malu Castellanos

  2. Hewlett-Packard, 1501 Page Mill Rd, MS-1142, 94304, Palo Alto, CA, USA

    Umeshwar Dayal

  3. Worcester Polytechnic Institute, Worcester, MA, USA

    Elke A. Rundensteiner

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Hsu, M. (2013). Live Analytics Service Platform. In: Castellanos, M., Dayal, U., Rundensteiner, E.A. (eds) Enabling Real-Time Business Intelligence. BIRTE 2012. Lecture Notes in Business Information Processing, vol 154. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39872-8_8

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  • DOI: https://doi.org/10.1007/978-3-642-39872-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39871-1

  • Online ISBN: 978-3-642-39872-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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