Graph Analytics in Snowflake: Beyond Traditional SQL

Session Track: Data Intelligence

Session Time: 12:00 pm - 12:30 pm November 6

Session description

Your data isn't just rows and columns. It's a web of relationships waiting to be discovered. We'll show you how Neo4j Graph Analytics for Snowflake provides SQL procedures that run graph algorithms directly on your Snowflake tables, with results returned in familiar table format. Watch us execute PageRank, community detection, and graph embeddings using SQL procedures from Neo4j Graph Analytics for Snowflake directly in Snowflake's serverless environment. We'll demonstrate real fraud detection patterns and customer clustering that traditional analytics miss, with results appearing as standard tables in existing workflows.

Speaker

Olga Razvenskaia

Senior Software Engineer, Neo4j

Olga Razvenskaia is a senior software engineer at Neo4j. She has more than 10 years of experience developing graph- and math-related tools for a wide range of users, including data practitioners, scientists, and researchers. She holds a Ph.D. in discrete mathematics and is passionate about the exciting possibilities that can be achieved with graphs. Currently, Olga is working on introducing Graph Data Science (GDS) capabilities into Snowflake, aiming to make graph insights accessible to an even broader audience. Outside of work, she enjoys hiking and cycling to explore beautiful places and recharge in nature.