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Compound Analytics of Compound Data within RDBMS Framework – Infobright’s Perspective

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Future Generation Information Technology (FGIT 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6485))

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Abstract

The relational model has been present in research and applications for decades, inspiring a number of RDBMS products based on entirely different architectures, but sharing the same way of understanding and representing the data [4]. Given 40 years of history, it is clear that the relational paradigms should not be blindly followed in all situations [1]. On the other hand, given its popularity, the relational framework is usually the easiest one to accept by database users and the most convenient for interfacing with other tools.

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Author information

Authors and Affiliations

  1. Institute of Mathematics, University of Warsaw, Banacha 2, 02-097, Warsaw, Poland

    Dominik Ślęzak

  2. Infobright Inc., Krzywickiego 34 lok. 219, 02-078, Warsaw, Poland

    Dominik Ślęzak

Authors
  1. Dominik Ślęzak
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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. Hannam University, Daejeon, South Korea

    Young-hoon Lee

  3. University of Tasmania, Hobart, Tasmania, Australia

    Byeong-Ho Kang

  4. University of Warsaw & Infobright Inc.,, Poland

    Dominik Ślęzak

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Ślęzak, D. (2010). Compound Analytics of Compound Data within RDBMS Framework – Infobright’s Perspective. In: Kim, Th., Lee, Yh., Kang, BH., Ślęzak, D. (eds) Future Generation Information Technology. FGIT 2010. Lecture Notes in Computer Science, vol 6485. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17569-5_5

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  • DOI: https://doi.org/10.1007/978-3-642-17569-5_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17568-8

  • Online ISBN: 978-3-642-17569-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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