scientific article published on 29 May 2019
Previously we showed how its possible to run Graph Analytics directly in snowflake using our Sumo Dataset from https://sumodb.sumogames.de/Default.aspx. Our analysis highlighted how using only the str
The game changer is the addition of Export to Lakehouse — the ability to sync the results of your graph analysis back into OneLake tables, where the rest of your Fabric tooling can pick them up. Wheth
This is Part 5 in a 5-part series on Graph Algorithms: Congratulations. We’ve done it. We have worked through four different algorithms, using intuitive visuals and easy-to-understand metaphors. But w
Why does bad weather in Atlanta end up canceling your flight all the way in Seattle? That’s the reality of a network. Air travel depends on a small number of highly connected hubs, and when one is dis
You’ve got plenty of data. Clean tables, well-defined schemas, and scalable compute in Databricks. But it can still feel like something is missing. What’s hard isn’t the data. It’s seeing how things a
Imagine you’re an explorer searching an old mine for abandoned treasure. You have in your possession an old map that shows all the chambers and the tunnels connecting them. Each chamber is a node in o
Graphs are ubiquitous in nature and provide a common abstraction for real world networks in disparate domains such as communication, transportation, epidemiology, sociology, and even biology. Research
