AI is the driving force behind a new era of business problem-solving. By linking Neo4j Aura Graph Analytics with BigQuery, you can execute graph algorithms on your live data to reveal deep relationships that remain invisible in standard tables.

In this demonstration, you will explore a live example using flight data stored in BigQuery. You will learn how to transform tabular records into a connected graph and apply graph algorithms to detect patterns, such as hidden bottlenecks, within a flight network.

You'll also discover how to solve practical challenges, such as identifying which airports serve as critical hubs, predicting the impact of a facility closure, and efficiently rerouting traffic during unexpected disruptions.

By the conclusion, you will know how to utilize graph analytics alongside BigQuery to make complex data easier to interpret and apply to your toughest professional hurdles.

You'll learn:

• How to execute graph algorithms on BigQuery datasets via Aura Graph Analytics
• How to map tabular data into a graph structure to expose hidden connections
• How to pinpoint bottlenecks, model network failures, and optimize rerouting paths

Join us to find out how graph analytics enables you to extract more value from your BigQuery data without the need for migration or altering your current workflows.