Storm is a distributed and fault-tolerant system for doing realtime computations.
Released as FOSS by Twitter, it gained the nickname "Realtime Hadoop" by providing an elegant solution to a problem hunting those of us who process gargantuan amount of bits: having results as fast as possible (faster than batch processing would allow.)
I'm going to show how and why Storm is the piece you are missing, and how it provides a simple, reliable, and fun framework for streaming computations that helps you keep your results fresh, just like it already does in the many production environments already powered by it.
Shay is a data scientist at everything.me, which fits him great, as he's passionate about learning from data, even when not on the clock.