Presentation Information
As developers most of us are not much concerned with security pass the authentication/autorization phase.
I will try to show you how application can be compromised and exploited using common application vulnerabilites and then I will show you how we can mitigate these problems.
Finite State Machines: Hipster programming concepts
Your friends have probably never heard of Finite State Machines, but you were using them before they were cool. Come enjoy grass-fed, sustainable goat tripe pizza and kombucha while we make our own FSM framework and ironically check out some of the existing tools for working with Finite State Machines.
MapReduce: Distributed Computing with Apache Hadoop
Scalable software is built so that increasing data or usage does not result in degraded service. Distributed computing is one way to make data processing software scale gracefully.
(from http://hadoop.apache.org/
“Hadoop Map/Reduce is a software framework for easily writing applications which process vast amounts of data (multi-terabyte data-sets) in-parallel on large clusters (thousands of nodes) of commodity hardware in a reliable, fault-tolerant manner.”
In this talk, I will introduce the Map/Reduce algorithm, and demonstrate how to write a Map/Reduce application using Java and Apache Hadoop.