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Partial Aggregation Using Hibernate

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Future Generation Information Technology (FGIT 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7105))

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Abstract

In this paper authors describe tools allowing for the use of partial aggregation techniques in analytical queries from the level of object-relational Hibernate mapping. Grouping queries are quite burdensome for databases. Therefore, in applications processing large amounts of data, partial aggregation is made (it should not be confused with the huge data sets, which are aggregated in data warehouses). Unfortunately, applications written using object-relational mappings cannot use this type of solutions directly. The authors decided to fill this void by adding easy-to-use tools to automatically create aggregations and very simple mechanisms to retrieve the aggregated data.

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References

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Author information

Authors and Affiliations

  1. Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Toruń, Poland

    Michał Gawarkiewicz & Piotr Wiśniewski

Authors
  1. Michał Gawarkiewicz
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  2. Piotr Wiśniewski
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Editor information

Editors and Affiliations

  1. Hannam University, 133 Ojeong-dong, daeduk-gu, 306-791, Daejeon, South Korea

    Tai-hoon Kim

  2. Department of Neuroscience, The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43110, Columbus, Ohio, U.S.A.

    Hojjat Adeli

  3. Infobright, M5E 1P8, Toronto, ON, Canada

    Dominik Slezak

  4. Department of Computer Science, Oslo University College, P.O. Box 4, N-0130, St. Olavs plass, Oslo, Norway

    Frode Eika Sandnes

  5. Nanjing University of Aeronautics and Astronautics, 210016, Nanjing, China

    Xiaofeng Song

  6. Electronics and Communications Research Institute (ETRI), 305-700, Daejeon, Korea

    Kyo-il Chung

  7. Mississippi State University, 39762, Oktibbeha, MS, USA

    Kirk P. Arnett

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© 2011 Springer-Verlag Berlin Heidelberg

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Gawarkiewicz, M., Wiśniewski, P. (2011). Partial Aggregation Using Hibernate. In: Kim, Th., et al. Future Generation Information Technology. FGIT 2011. Lecture Notes in Computer Science, vol 7105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27142-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-27142-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27141-0

  • Online ISBN: 978-3-642-27142-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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