Getting started with Storm framework | Building scalable enterprise applications

Getting started with Storm framework | Building scalable enterprise applications

The  Storm  framework is an open-source distributed and fault-tolerant real-time processing system used by many companies including Groupon, Twitter, Alibaba, Klout, etc. It's the Hadoop of real-time processing and it can be used for real-time analytics, online machine learning and parsing social media stream, just to name a few. This post will help you getting started with Storm via a sample Java project that you can run on any desktop environment. Few months ago I had the pleasure to attend the Data + Visualization Toronto Meetup 's  hands-on session on Storm where we built a sample Storm topology that parsed Twitter's sample feed and printed a list of top tweets based on their retweet counts in every 5 minutes. It's pretty amazing that starting from scratch you can get a basic storm topology up and running on a local box in a few minutes time. Check out this slightly modified version of the above mentioned sample project:  https://github.com/davidkiss/storm-twitter-word-count .

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