Abstract
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. © Springer-Verlag 2012.
Cite
CITATION STYLE
Agneeswaran, V. S. (2012). Big-data - Theoretical, engineering and analytics perspective. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7678 LNCS, pp. 8–15). https://doi.org/10.1007/978-3-642-35542-4_2
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