A demonstration of how Fusion Middleware can be used to build an architecture based on Oracle Event Processor, Coherence and Oracle Database for customers that have a requirement for a mixture of real-time processing, near-time analysis and long running batch analysis of the same or a similar data set. This use-case is certainly common in Financial Services where our customers need to process market and financial data in real-time as well as analyse long-term trends in large data sets. This architecture will also be applicable to any industry where the customer has requirements for analysing data at different frequencies and volumes. For example: • Financial Services – Real-time Market and Financial data • Commercial Banking – Customer Experience • Retail – Real-time point of sale analysis • Telecommunications – Real-time billing analysis • Oil and Gas – Drilling (upstream) analysis • Energy – Smart metering • Logistics – Vehicle location analysis
Presenter Simon Cook:
Simon has 17 years experience working with Java and Middleware technolgies. He worked for 14 years at Sun Microsystems specialising in Java Enterprise Middleware and related technolgies. Since Oracle acquired Sun Microsystems 3 years ago, Simon has worked at a Senior Principal Sales Consultant for Oracle's Fusion Middleware product suite. Focusing on the Cloud Application Foundation products and supporting Oracle's sales teams in the Financial Services sector.
Duration: 42 minutes
This content is intended for the following job role(s): Development Manager, Technical Administrator, SOA Architect, Systems Architect
Release Date: 21-JAN-2014
Created by: Nathalie Mackay
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