How to keep track of change - versioning approaches in Neo4j

Versioning data is a critical element in many data applications. It is used in finance, identity and access management and master data management to name but a few industries and use cases.

Versioning enables us to:

• track changes made to data
• make corrections without deleting anything
• 'travel' through time to understand state changes

In this talk we are going to looking at time-based versioning in Neo4j, exploring approaches to track:

• an object's state
• relationship changes
• ommited records