Session

Graph‑Augmented Data Products with Neo4j & Lakehouse for Cross‑Domain Insight

This one‑day workshop adds relationship intelligence to your Data Mesh. In the morning, session translates context maps into a property graph for a chosen domain, define stable identifiers, and sketch a graph schema aligned to data product contracts. Midday, session runs Cypher pattern labs — centrality, k‑hop paths and communities to answer fraud, identity, churn and dependency questions. In the afternoon, session publishes “graph features” as versioned outputs of data products, define tests and lineage and design a contract to consume graph outputs across domains. Entire session involves practice, model critiques, pair queries, and contract design. You leave with schema sketches, notebooks, loaders, and a three‑week activation plan to add graph to your Mesh

Shaurya Agrawal

Startup CTO & Board Advisor

Austin, Texas, United States

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top