Big-Data – Theoretical, Engineering and Analytics Perspective

  • Vijay Srinivas Agneeswaran
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7678)


The advent of social networks, increasing speed of computer networks, the increasing processing power (through multi-cores) has given enterprise and end users the ability to exploit big-data. The focus of this tutorial is to explore some of the fundamental trends that led to the Big-Data hype (reality) as well as explain the analytics, engineering and theoretical trends in this space.


Normal Operation Software Define Network Analytics Perspective Hadoop Distribute File System Erasure Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Vijay Srinivas Agneeswaran
    • 1
  1. 1.Innovation LabsImpetus Infotech (India) Pvt Ltd.BangaloreIndia

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