Navigating the Shift in the Data Landscape

In this clip Jim Webber, acknowledges the significance of relational data models while also highlighting their limitations in handling modern data complexity.

Relational models thrived in a simpler era with uniform data structures. However, contemporary data often features sparse tables and extensive joins, leading to complex workarounds in client code.

Find out more about Neo4J -> Here.


RO-AR insider newsletter

Receive notifications of new RO-AR content notifications: Also subscribe here - unsubscribe anytime

See also  GPT - Large Language Models - changing everything