What Copilot in Microsoft Fabric does
Copilot in Microsoft Fabric assists Data Factory, Data Engineering, Data Warehouse, Data Science, Real-Time Intelligence, and Power BI work using capacity-metered AI.
Copilot is embedded across Microsoft Fabric rather than sold as a separate data warehouse. Supported experiences cover Data Factory, Data Engineering, Data Warehouse, Data Science, Real-Time Intelligence, and Power BI. Depending on the workload, it can draft pipeline expressions, notebook code, T-SQL, explanations, models, or reports. Warehouse Copilot uses schema and relationship metadata to generate code and provides completion, quick fixes, and natural-language-to-SQL assistance.
Copilot does not require a separate per-user or per-capacity license, but its prompts and responses consume Fabric Capacity Units at different token rates. The generated workload then shares or consumes capacity through warehouse queries, Spark, pipelines, model operations, and other Fabric activities; OneLake storage and external services can add charges. Capacity SKU, region, reservation, smoothing, bursting, concurrency, paused resources, and Copilot capacity assignment affect the practical bill, so monitor the Capacity Metrics app.
Schema-only grounding reduces row exposure during warehouse code generation but does not make generated T-SQL correct or harmless. Copilot may invent columns, choose the wrong relationship, omit tenant filters, scan large tables, or propose destructive statements; other workloads can send richer context. Configure tenant geography and Azure OpenAI processing deliberately, enforce workspace and item permissions, use masked test data, inspect plans and capacity estimates, validate against known results, run quality tests, and keep human approval on deployment, writes, and reports.
How Copilot in Microsoft Fabric works
Fabric users prompt Copilot within supported workloads to create or explain pipeline steps, Spark or notebook code, T-SQL, semantic content, and analysis. In the Warehouse experience, Copilot uses table, view, column, primary-key, and foreign-key metadata rather than table rows to draft T-SQL. Users execute reviewed output through Fabric items and capacity, while tenant settings control availability and applicable Azure OpenAI data processing.
How to set up Copilot in Microsoft Fabric
Map Fabric workloads and controls
Identify workspaces, capacities, regions, data domains, item owners, sensitivity labels, identities, quality SLAs, allowed Copilot experiences, token budgets, and downstream decisions.
Configure tenant and capacity settings
Assign security groups, approved regions and Copilot capacity, review cross-geography processing, apply least-privilege workspace and data access, and isolate development from production.
Prepare trusted warehouse metadata
Document tables, columns, keys, relationships, measures, partitions, freshness, and business definitions; remove ambiguous names and expose only needed schemas to the pilot.
Test generated code safely
Review T-SQL, Spark, pipeline, and notebook output; use read-only sandboxes, inspect execution plans, cap resources, test row security, nulls, duplicates, schema drift, and known answers.
Deploy with capacity governance
Require source control, peer review, tests, deployment pipelines, approvals and rollback; monitor Capacity Metrics, query history, failures, data quality, access, and model changes.
Copilot in Microsoft Fabric FAQs
How much does Copilot in Microsoft Fabric cost?
Copilot consumes Fabric Capacity Units based on tokens and has no separate Copilot license. Warehouse, Spark, pipelines, storage, and other Fabric workloads consume capacity or add charges.
What does Warehouse Copilot use to generate T-SQL?
Microsoft states it uses table and view names, columns, primary keys, and foreign-key metadata, not the table's row data, for T-SQL suggestions.
Does Copilot bypass Fabric permissions?
It should operate within configured tenant, workspace, item, data, and capacity controls, but administrators must test identities, sharing, semantic models, exports, and processing settings.
Is generated T-SQL safe to run?
Not automatically. Review objects, joins, filters, row security, write operations, plans, scans, capacity impact, and expected results in a nonproduction environment first.
Can Copilot data be processed outside the capacity region?
Depending on tenant and capacity location, an admin setting may allow Azure OpenAI processing outside the geographic region or compliance boundary. Review and approve this explicitly.
Listing reviewed 2026-07-15. Product details and pricing can change; verify important terms on the provider's website.
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