One-Time Setup: Enable Copilot (Admin)

One-Time Setup: Enable Copilot (Admin)

1. Go to Power BI Service → Admin portal → Tenant settings
2. Find Copilot settings and turn it on for the right user groups
3. Save changes and inform your teams where Copilot appears in Fabric

(Copilot works within your organization’s security policies and governance settings.)

Quick Start: Step-by-Step by Role

A) Data Engineering / Data Science (Notebooks, Lakehouse)

1. Open a notebook in Fabric.
2. Paste a short goal: “Load CSV from OneLake, clean nulls, and create a feature store table.”
3. Ask Copilot to generate a code template.
4. Run & validate on a sample; ask Copilot to optimize (vectorization, caching, partitioning).
5. Save reusable cells as your project template.

Starter prompts

• “Create a PySpark template to read parquet from /Files/sales/, handle missing values, and write a delta table partitioned by year.”
• “Explain what this PySpark code does and suggest a faster approach.”

B) Data Factory (Pipelines & Dataflows)

1. Create a new pipeline.
2. Tell Copilot the source, destination, and rules (e.g., S3 → Lakehouse, map columns, dedupe by order_id).
3. Let it generate transformations and validation steps.
4. Ask for an explanation of each activity to learn as you go.
5. Add a schedule/trigger.

Starter prompts

• “Generate a pipeline to ingest daily CSVs from S3 to OneLake, map columns, drop duplicates, and send an email if rows < expected.”

C) Data Warehouse & SQL Database

1. Open your SQL endpoint/warehouse.
2. Type in plain English what you want: joins, filters, aggregations.
3. Review the generated SQL, then run it.
4. Ask Copilot for indexing/partition suggestions.

Starter prompts

• “Write a SQL query to join orders and customers, last 30 days, revenue by city, top 10.”
• “Optimize this query for large tables and explain why.”

D) Power BI (Business Users & Analysts)

1. Connect to your dataset and select Copilot.
2. Ask it to auto-generate a report with key visuals and filters.
3. Use Copilot to summarize each page and create synonyms for Q&A.
4. Chat with the report data: “Show month-over-month change in revenue.”

Starter prompts

• “Create a 1-page executive summary highlighting revenue trend, top products, and variance vs last month.”
• “Suggest synonyms so users can ask ‘turnover’ instead of ‘revenue’.”

E) Real-Time Intelligence (KQL)

1. Open your event/telemetry workspace.
2. Describe what you need; Copilot generates KQL.
3. Validate results and ask Copilot to add filters/aggregation.
4. Save as a live dashboard or alert.

Starter prompts

• “Write a KQL query to find error spikes in the last 2 hours grouped by region, and show top 5.”
• “Explain this KQL and suggest a more efficient version.”

Best Practices to Get Great Results

• Be specific: include tables, columns, time windows, and constraints
• Iterate fast: ask Copilot to refine, optimize, or explain “like I’m new to X”
• Validate: run on samples, review outputs, then scale up
• Document: ask Copilot to generate comments and short READMEs for handover

Call to Action

Ready to reduce busywork and ship insights faster? Start with one use case per workload, save your best prompts, and keep improving them week by week. If you’ve tried Copilot in Fabric, what worked best for you?

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