At the StampedeCon 2013 Big Data conference in St. Louis, Vinod Vydier, Middleware Specialist at Oracle, discussed Real Time Event Processing and In-memory analysis of Big Data. There are multiple projects (for example Cloudera’s Impala) that do realtime or near real time analysis of Big Data. However, if there are events that need to be looked at and responded to in real time (for example credit card fraud or a vehicle metrics to alert a driver) this can have a significant impact on data collection and analysis using the traditional Big Data techniques. In this session, I will introduce strategies on how you can use an Event Processing Engine to respond to events in real time, and then filter and categorize data in memory before storing data in HDFS. This will make it easier to run Hadoop jobs on the data collected, and also have end clients respond to the critical events in real time.