Microsoft Fabric
Microsoft Fabric9 min read•
Using Copilot for Fabric Development
Accelerate development with AI-assisted code generation and data insights.
By Administrator
Copilot in Microsoft Fabric uses AI to accelerate development across all workloads, from SQL to Spark to Power BI.
Where Copilot Helps
Data Warehouse - Generate SQL queries from natural language - Explain existing queries - Optimize query performance - Create table definitions
Notebooks - Write PySpark code - Debug errors - Explain code sections - Generate documentation
Power BI - Create reports from descriptions - Generate DAX measures - Answer questions about data - Suggest visualizations
Data Factory - Build pipeline logic - Configure transformations - Troubleshoot failures
Using Copilot Effectively
Be Specific "Show me total sales by region for 2024 where sales exceed $10,000"
Better than: "Show me sales data"
Iterate Start with a basic request, then refine: 1. Generate initial query 2. Ask for modifications 3. Request optimization 4. Add error handling
Review Output Always validate Copilot suggestions: - Check logic correctness - Verify performance - Test edge cases - Understand the code
Availability
Copilot features require: - Fabric capacity (F64 or higher for some features) - Tenant admin enablement - Appropriate licensing
Best Practices
- Use for acceleration, not replacement of understanding
- Always review generated code
- Combine with traditional development practices
- Provide feedback to improve results
Frequently Asked Questions
Is Copilot available in all Fabric workloads?
Copilot is rolling out across Fabric workloads progressively. Availability varies by workload and region. Check Microsoft documentation for current availability in your tenant.
Does Copilot understand my specific data?
Copilot has context about your schema and metadata. It uses this context to generate relevant queries and code, but always verify the output matches your business logic.
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