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 passionate about learning from data, and spends his days (and more nights than he'd like to admit,) hacking on Cemmerce's algorithms.