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Beyond Conventional Data Warehousing — Massively Parallel Data Processing with Greenplum Database

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Business Intelligence for the Real-Time Enterprise (BIRTE 2008)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 27))

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Abstract

In this presentation we discuss trends and challenges for data warehousing beyond conventional application areas. In particular, we discuss how a massively parallel system like Greenplum Database can be used for MapReduce-like data processing.

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References

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Author information

Authors and Affiliations

  1. Greenplum Inc., San Mateo, CA, 94403, USA

    Florian M. Waas

Authors
  1. Florian M. Waas
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Editor information

Editors and Affiliations

  1. Hewlett-Packard, 1501 Page Mill rd, MS-1142, 94304, Palo Alto, CA, USA

    Malu Castellanos

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

    Umesh Dayal

  3. Institute for the Management of Information Systems, 17 Mpakou str, 11524, Athens, Greece

    Timos Sellis

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© 2009 Springer-Verlag Berlin Heidelberg

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Waas, F.M. (2009). Beyond Conventional Data Warehousing — Massively Parallel Data Processing with Greenplum Database. In: Castellanos, M., Dayal, U., Sellis, T. (eds) Business Intelligence for the Real-Time Enterprise. BIRTE 2008. Lecture Notes in Business Information Processing, vol 27. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03422-0_7

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  • DOI: https://doi.org/10.1007/978-3-642-03422-0_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03421-3

  • Online ISBN: 978-3-642-03422-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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