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Massive-Scale Analytics

  • Reference work entry
Encyclopedia of Parallel Computing

  • 229 Accesses

Synonyms

Deep analytics; Large-scale analytics; MapReduce

Definition

Massive-scale analytics refers to a combination of mathematical methods and high-performance computational methods for the analysis of vast amounts of data in order to gain crucial insights and facilitate decision making across a broad spectrum of application domains, sometimes in an automated data-driven fashion. This requires a unified approach that addresses the two key dimensions of massive-scale analytics: data and computation.

Discussion

Introduction

The volumes of data available to various organizations throughout society over the past many years have been growing at an explosive rate. Important advances in computer sciences and technologies have made this possible, which in turn have resulted in the development and growth of data warehouses and reporting capabilities to view information concerning various aspects of an enterprise. These basic reporting capabilities have helped organizations improve the...

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Author information

Authors and Affiliations

  1. Mathematical Sciences Department, IBM Thomas. J. Watson Research Center, Yorktown Heights, NY, USA

    Amol Ghoting Dr.

  2. Mathematical Sciences Department, IBM Corp., 1101 Kitchawan Road, 10598, Yorktown Heights, NY, USA

    John A. Gunnels Dr.

  3. Mathematical Sciences Department, IBM, Yorktown Heights, NY, USA

    Mark S. Squillante Dr.

Authors
  1. Amol Ghoting Dr.
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  2. John A. Gunnels Dr.
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  3. Mark S. Squillante Dr.
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Editor information

Editors and Affiliations

  1. University of Illinois at Urbana-Champaign, Urbana, IL, USA

    David Padua

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Ghoting, A., Gunnels, J.A., Squillante, M.S. (2011). Massive-Scale Analytics. In: Padua, D. (eds) Encyclopedia of Parallel Computing. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09766-4_418

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