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How 30 Years of Ticket Transaction Data Helps you Discover New Shows!

Posted by Vaclav Petricek  on  Aug 19, 2015

Vaclav Petricek discusses how to train models, architect and build a scalable system powered by Storm, Hadoop, Spark, Spring Boot and Vowpal Wabbit that meets SLAs measured in tens of milliseconds.


Scalable Big Data Stream Processing with Storm and Groovy

Posted by Eugene Dvorkin  on  Jan 18, 2015

Eugene Dvorkin provides an introduction to Storm framework, explains how to build real-time applications on top of Storm with Groovy, how to process data from Twitter in real-time, etc.


Data & Infrastructure at Airbnb

Posted by Brenden Matthews  on  Dec 31, 2013

Brenden Matthews describes the infrastructure built at Airbnb using Mesos in order to support Hadoop and Storm.


Lessons Learned Building Storm

Posted by Nathan Marz  on  Aug 11, 2013 2

Nathan Marz shares lessons learned building Storm, an open-source, distributed, real-time computation system.

Storm: Distributed and Fault-Tolerant Real-time Computation

Posted by Nathan Marz  on  Jan 04, 2013

Nathan Marz introduces Twitter Storm, outlining its architecture and use cases, and takes a look at future features to be made available.

Clojure + Datomic + Storm = Zolodeck

Posted by Amit Rathore  on  Dec 04, 2012

Amit Rathore describes the architecture of Zolodeck, a virtual relationship manager built on Clojure, Datomic, and Storm.

MapReduce and Its Discontents

Posted by Dean Wampler  on  Oct 05, 2012 1

Dean Wampler discusses the strengths and weaknesses of MapReduce, and the newer variants for big data processing: Pregel and Storm.

Storm: Distributed and Fault-tolerant Real-time Computation

Posted by Nathan Marz  on  Jul 25, 2012

Nathan Marz discusses Storm concepts –streams, spouts, bolts, topologies-, explaining how to use Storms’ Clojure DSL for real-time stream processing, distributed RPS and continuous computations.

Storm: Distributed and Fault-tolerant Real-time Computation

Posted by Nathan Marz  on  Oct 21, 2011 1

Nathan Marz explain Storm, a distributed fault-tolerant and real-time computational system currently used by Twitter to keep statistics on user clicks for every URL and domain.

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