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 !