Databricks guides and products

Databricks provides a governed data and AI workspace. Its Genie family covers business-data questions, assistants configured with trusted data and business context, and coding and data work, all governed by the organization's data permissions.

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All Databricks articles

Databricks AI functions: check SQL labels and summariesUse a small, reviewed test table before relying on AI-generated labels or summaries. Keep the SQL, expected answers, settings, and failed examples together so the next run is easier to assess.2026-10-25 · 6 min read
Claude Databricks Connectors: Set Up and Verify AnswersChoose the Databricks connection that fits your question, confirm permissions, and check the returned evidence. Keep metric definitions and analysis decisions available between Claude sessions.2026-10-21 · 5 min read
Databricks MCP: Managed Servers for Unity Catalog and GenieDatabricks hosts MCP servers for Genie, AI Search, Databricks SQL and Unity Catalog functions, governed by Unity Catalog. Which one to expose, what is preview and what was renamed, OAuth scopes, the write default to change, connecting Claude Code, and where Box and other outside servers fit.2026-09-30 · 7 min read
Databricks Agent Memory: Sessions, Storage, and Shared ContextDatabricks agents can store memory in Delta tables, Unity Catalog, or a managed vector store. Here is how to choose a persistence layer, verify recall between runs, and keep project decisions in a shared place.2026-09-29 · 5 min read
Databricks AI/BI Dashboards: Build and Check a ViewUse Genie Code to begin dashboard work, then check the definitions behind every chart. Keep a clear record of what each number means and what was reviewed.2026-09-18 · 5 min read
Databricks Assistant: Write SQL and Verify the ResultDatabricks Assistant is now documented as Genie Code. Open it beside your notebook or SQL work, ask for a small change, and check the result before trusting it.2026-09-06 · 5 min read