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Scalable Analytics – Algorithms and Systems

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Big Data Analytics (BDA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7678))

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Abstract

The amount of data collected is increasing and the time window to leverage this has been decreasing. To satisfy the twin requirements, both algorithms and systems have to keep pace. The goal of this tutorial is to provide an overview of the common problems, algorithms, and systems for handling large-scale analytics tasks.

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© 2012 Springer-Verlag Berlin Heidelberg

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Sengamedu, S.H. (2012). Scalable Analytics – Algorithms and Systems. In: Srinivasa, S., Bhatnagar, V. (eds) Big Data Analytics. BDA 2012. Lecture Notes in Computer Science, vol 7678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35542-4_1

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  • DOI: https://doi.org/10.1007/978-3-642-35542-4_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35541-7

  • Online ISBN: 978-3-642-35542-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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