In this session, Amar will present a smart data repository design, leveraging the power of Neo4j, to manage the complex network state information efficiently. He will show you how this graph database design, coupled with the Cypher language, natively enables 'what-if' scenarios to assess the impact of configuration changes before they are deployed into the network, and analyses network behavior.

By the end of this session, you will gain insights into a comprehensive, extensible, and multi-level abstraction network representation with Neo4j, which combines data storage and design evaluation. And you'll understand how a Neo4j-based repository can store network state data and evaluates design changes in a single system.