Big Data with Storm- Shay Elkin

As part of ILTechTalks week we are proud to host Shai Elkin for the following talk:

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.

Speaker: Shay Elkin, Data Scientist at

Note: Please register only if you intend to come. if something come-up please cancel your registration so others can get in.
Parking is free (for 2 hours) on the top level of Yachin Alexandra center. right below Outbrain Office.

This talk will be at Floor 2.

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  • Doron G.

    Shay. Thanks for the great presentation. We are already, as per your "directive" playing with Storm and find it appealing. One question, if I may - are there any alternatives? Did you evaluate any other solutions before using Storm?

    July 11, 2013

  • Shay E.

    Thanks for having me.

    I hope at least some of you already git clone-d storm and trying it. And for those who'd like a copy, slides are now live at

    July 8, 2013

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