Contribute Media
A thank you to everyone who makes this possible: Read More

Real-Time stream computation on graphs using Storm, Neo4j and Python



We will briefly outline the installation and features of Twitter’s Storm framework and basic operations which make it an ideal tool for real-time stream processing of data. We will also look into it's Fault-Tolerance capabilities using programmatic implementations.


We will briefly introduce Neo4j, a No-SQL graph Database – how it works, its APIs, working with REST and Cypher.

Distributed Graph Operations

We shall then focus on how Storm and Neo4J can be made to work in co- ordination in a distributed environment to produce efficient and fast operations on significantly large graph data. The session will also include a live implementation of a scenario to demonstrate the use of Storm, Neo4J and their co-ordinated jobs in Python.

Finally the growing social applications of graph databases will not be a mystery anymore !


Improve this page