OneTick and Hadoop: Enhancing OneTick's Analytical Engine with the MapReduce Computational Model
26 Apr 2016
San Francisco, Chicago, New York, London
Details: click here
Register: click here
Discover how OneTick Map-Reduce is a Hadoop-based solution combining OneTick's analytical engine with the MapReduce computational model that can be used to perform distributed computations over large volumes of financial tick data.
OneTick Map-Reduce is a solution to leverage elastic computation by dynamically distributing both data and computation across a Hadoop cluster.
Join this webinar to find out how OneTick's large collection of built-in analytical functions and query design can easily leverage the Hadoop middleware framework for large scale parallel processing.
DATE: Tuesday, April 26
7:30 AM San Francisco
9:30 AM Chicago
10:30 AM New York
3:30 PM London