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Register todayUse the Copilot for Data Science and Data Engineering chat panel (preview)
Important
This feature is in preview.
Copilot for Data Science and Data Engineering notebooks is an AI assistant that helps you analyze and visualize data. It works with lakehouse tables, Power BI Datasets, and pandas/spark dataframes, providing answers and code snippets directly in the notebook. The most effective way of using Copilot is to load your data as a dataframe. You can use the chat panel to ask your questions, and the AI provides responses or code to copy into your notebook. It understands your data's schema and metadata, and if data is loaded into a dataframe, it has awareness of the data inside of the data frame as well. You can ask Copilot to provide insights on data, create code for visualizations, or provide code for data transformations, and it recognizes file names for easy reference. Copilot streamlines data analysis by eliminating complex coding.
Note
- Your administrator needs to enable the tenant switch before you start using Copilot. See the article Copilot tenant settings for details.
- Your F64 or P1 capacity needs to be in one of the regions listed in this article, Fabric region availability.
- If your tenant or capacity is outside the US or France, Copilot is disabled by default unless your Fabric tenant admin enables the Data sent to Azure OpenAI can be processed outside your tenant's geographic region, compliance boundary, or national cloud instance tenant setting in the Fabric Admin portal.
- Copilot in Microsoft Fabric isn't supported on trial SKUs. Only paid SKUs (F64 or higher, or P1 or higher) are supported.
- Copilot in Fabric is currently rolling out in public preview and is expected to be available for all customers by end of March 2024.
- See the article Overview of Copilot in Fabric and Power BI for more information.
- Azure OpenAI must be enabled within Fabric at the tenant level.
Note
If your workspace is provisioned in a region without GPU capacity, and your data is not enabled to flow cross-geo, Copilot will not function properly and you will see errors.
To use the Copilot pane, the installation cell for Chat-magics must successfully execute within your Spark session.
Important
If your Spark session terminates, the context for Chat-magics will also terminate, also wiping the context for the Copilot pane.
Verify that all these conditions are met before proceeding with the Copilot chat pane.
Select the Copilot button on the notebook ribbon.
To open Copilot, select the Copilot button at the top of the notebook.
The Copilot chat panel opens on the right side of your notebook.
A panel opens to provide overview information and helpful links.
- AI assistance: Generate code, query data, and get suggestions to accelerate your workflow.
- Data insights: Quick data analysis and visualization capabilities.
- Explanations: Copilot can provide natural language explanations of notebook cells, and can provide an overview for notebook activity as it runs.
- Fixing errors: Copilot can also fix notebook run errors as they arise. Copilot shares context with the notebook cells (executed output) and can provide helpful suggestions.
- Inaccuracies: Potential for inaccuracies exists. Review AI-generated content carefully.
- Data storage: Customer data is temporarily stored, to identify harmful use of AI.
Copilot for Data Science and Data Engineering offers helpful starter prompts to get started. For example, "Load data from my lakehouse into a dataframe", or "Generate insights from data".
Each of these selections outputs chat text in the text panel. As the user, you must fill out the specific details of the data you'd like to use.
You can then input any type of request you have in the chat box.
- The more specifically you describe your goals in your chat panel entries, the more accurate the Copilot responses.
- You can "copy" or "insert" code from the chat panel. At the top of each code block, two buttons allow input of items directly into the notebook.
- To clear your conversation, select the
icon at the top to remove your conversation from the pane. It clears the pane of any input or output, but the context remains in the session until it ends. - Configure the Copilot privacy settings with the %configure_privacy_settings command, or the %set_sharing_level command in the Chat-magics library.
- Transparency: Read our Transparency Note for details on data and algorithm use.
Additional resources
Training
Module
AI Fluency: Get started with Microsoft Copilot - Training
Learn how to get started with Microsoft Copilot, understand its main functions and benefits, and explore strategies for effective interaction. This module covers GPT model fundamentals, setup, and tips for engaging conversations.
Certification
Microsoft Certified: Azure Data Scientist Associate - Certifications
Manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Python, Azure Machine Learning and MLflow.