Module 9: Stream Reasoning: Mastering the Velocity & Variety Dimension of Big Data at the Same Time
Channel: AI Institute at UofSC - #AIISC
Date: 2015-10-20

Semantics Approach to Big Data and Event Processing @ Kno.e.sis, Dayton, OH 6-8 October 2015
Emanuele Della Valle, Amit Sheth, Riccardo Tommasini, Pramod Anantharam, Pavan Kapanipathi

Abstract
Variety, Velocity, Volume and Veracity are the four Vs for Big Data. Most of the technologies available have shown how to treat Volume. However, due to the increasing number of streaming data sources, the Velocity problem is relevant as never before. Moreover, Veracity and especially Variety problems have increased the difficulty of the challenge.

This course focuses on these two aspect of the Big Data problem, Velocity and Variety, it shows how with streaming data and semantic technologies is possible to enable efficient and effective stream processing for advanced application development.

For details, see http://wiki.knoesis.org/index.php/BigDataTutorial.