Ask, build, compose: What our 5th Genie Hackathon taught us about Databricks Genie
Summary
The fifth Databricks Genie Hackathon demonstrated how governed, conversational analytics is becoming a foundational tool through ten real-world projects spanning three distinct usage tracks: Genie Agents, Genie Code, and composed agents. These diverse builds serve as a practical curriculum for Databricks practitioners, showcasing how different user types can successfully talk to data, build custom solutions, and compose Genie into automated workflows.
Summary generated by brickster.ai. For the full article, follow the source link above.
More from Databricks Blog
Run, debug, and scale Databricks workloads from your local IDE
Databricks now lets you interactively run and debug workloads directly from your IDE, connecting to Serverless, AI Runtime, and dedicated clusters without switching to the workspace UI. You can browse Unity Catalog and edit workspace files locally, with your project dependencies kept in sync between the IDE and workspace.
How Databricks Uses AI to Accelerate Incident Investigation
Databricks' AI SRE now handles over 2,000 daily investigations across 150+ teams, helping engineers troubleshoot 100s of microservices spread across 1,500 Kubernetes clusters in 70+ regions and three clouds. Rather than relying on black-box reasoning, the system uses composable agentic runbooks and ties every diagnostic recommendation to verifiable raw evidence, embedding a context-first approach into its design.
Connecting retail demand planning to campaign and store execution
A unified retail application on Databricks now links sales insights, demand planning, audience building, campaigns, and store operations in a single governed workflow. Retail teams can move from KPI review and forecasting straight into what-if planning, campaign activation, store execution, and performance measurement without leaving fragmented sales, inventory, supply chain, media, and store data behind.
Inbound Private Link now supports account-level Genie One, the account console, and custom URLs
Enterprises adopting Databricks for their most sensitive data commonly rely on Inbound...
Busting SQL Migration Myths: How New SQL Features Make Lift-and-Shift to Lakehouse Easier
New Databricks SQL Scripting features enable direct lift-and-shift migrations of legacy PL/SQL, allowing teams to translate procedures, cursors, temp tables, and transactions line for line without rewriting business logic. Once migrated, these procedures retain their original control flow while gaining built-in Unity Catalog lineage and access control.
Designing effective Genie Agents from a single prompt
Genie Agents let teams turn trusted business context into domain-specific AI agents from a single prompt, reasoning across structured data, documents, and files governed by Unity Catalog without constant prompt tweaking. The post argues that weak agent answers usually stem from missing context rather than bad prompts, and recommends starting with one focused, benchmarked use case as the foundation for expanding with more knowledge, tools, and workflows.
