Databricks Oct Meetup
About the event
Speakers Thoughtworks: Eric Nagler and Arun Srinivasan Databricks: [Kevin Hartman](mailto:kevin.hartman@databricks.com)
Location 200 E Randolph St. Chicago Floor 25
Hosts Thoughtworks
Agenda:
5:00-5:30p.m Happy Hour 5:30 (45–60 min) — AI-Ready Semantic Layers: from ontology to Genie • The problem: metric views give agents dimensions & formulas\, not part-of / is-a / rolls-up-to — and Genie Ontology only infers what your assets already encode (the "right answer\, wrong rollup" failure — not a model problem). • The moat: the platform moved the floor; the domain-specific semantic layer (metric views\, glossaries\, ontology) is still the differentiator. • The build: rapid discovery with the Ontology Accelerator → where to model non-metric concepts (tables vs. UC semantics vs. ontology vs. agent) → two live demos (infer vs. supply; end-to-end Genie Agent).
6:30 (\~60 min) — Consort (open source) • What it is: keeps AI-written code clean and correct — a deterministic state machine drives /plan → /design → /build → /deploy so agents can't skip steps\, weaken tests\, or drift from spec. • Why Lakebase: every git branch auto-pairs with a copy-on-write Postgres branch in \~1s — tests run against real data\, not mocks\, and schema evolves in lockstep with code. • How it works: 8 role agents (Spec Author\, Architect\, DBA\, Test Strategist\, UX\, Navigator\, Driver\, Product Owner) communicate only through immutable artifacts; RED → GREEN → refactor; human-approval gates that fail closed. • The differentiator: engineering discipline enforced by contract\, not suggestions — "green" means a real test pass on live infra. Live /consort:start scaffolds repo \+ paired DB \+ agents (StockFlow sample).
