On the history of STORM by Nathan Marz

Nathan Marz, the guy that is behind the Storm Apache incubator project.
Storm has definitely became the most common stream processing platform.  This year I am scheduled to teach a course about business intelligence, and my view of business intelligence includes the real-time business intelligence.  The students will practice Storm. 

Recently Nathan Marz wrote in his Blog about the history of Storm and lessons learned. 
I think it is worth reading... 

Event processing with Storm-Cassandra from health market science

I came across a recent Slideshare presentation entitled "Complex Event Processing W/Cassandra". prepared by Brian O'neill and Taylor Goetz, from Healthcare Market Science.  It describes a project integrating Cassandra and Storm.   This presentation analyzes previous failures using Hadoop and C* with  aspectj.

Then it explains the architecture of the solution using Storm for the event processing part.   

Interesting presentation.  It would have been even more interesting if the presentation talked more about the actual application  (there is one slide explaining in very general terms what their products are).  

It seems that a lot is going on in the open source space.  

S4 vs. Storm

Yesterday I wrote about a talk given by a person from Yahoo Labs!  Another piece from Yahoo Labs! is a comparison between S4 (the author participated in the development of S4)  and Storm   acquired by Twitter.    Interesting!   Note that S4 and Storm are not the only players in the area of distributed stream processing, there are some others like IBM Infosphere Streams, so a more comprehensive survey should not be limited to these two.