Build a Pathfinding Engine in Snowflake with Neo4j Graph Analytics

Disruptions in supply chains can be costly, just like delays in transit systems can be frustrating and lead to mounting delays.

In this technical walk-through, we’ll demonstrate how to use Neo4j Graph Analytics natively within Snowflake to model and solve real-world problems like subway station closures in the New York City subway system.

You’ll learn:
– How to model subway routes as graphs using Snowflake tables
– How to use Dijkstra’s algorithm for shortest-path pathfinding
– How to simulate a station closure and update your model dynamically
– How the same graph approach can apply to supply chains, logistics, and more

#GraphAnalytics #Neo4j #PredictiveMaintenance #Snowflake #MachineLearning #GDS #FactoryOps #DataScience #GraphAlgorithms

Explore Neo4j Graph Analytics for Snowflake → https://bit.ly/43rPYNK
Learn more about Neo4j AuraDB → https://bit.ly/451ssda
Access the code and dataset on GitHub → https://bit.ly/468kBuT