Storm, Neo4j and Python: Real-Time Stream Computation on Graphs by Sonal Raj.
From the webpage:
This page serves a resource repository for my talk at Pycon India 2013 held at Bangalore, India on 30th August – 1st September, 2013. The talk introduces the basics of the Storm real-time distributed Computation Platform popularised by Twitter, and the Neo4J Graph Database and goes on to explain how they can be used in conjuction to perform real-time computations on Graph Data with the help of emerging python libraries – py2neo (for Neo4J) and petrel (for Storm)
Great slides, code skeletons, pointers to references and a live visualization!
See the video at: PyCon India 2013.
Demo gremlins mar the demonstration part but you can see:
A Storm Topology on AWS showing signup locations for people joining based on a sample Social Network data
http://www.enfoss.org/map-aws/storm-aws-visual.html
A quote from the slides that sticks with me:
Process Infinite Streams of data one-tuple-at-a-time.
😉