A Unified Platform for Data Mastery
Data Science
A unified workspace for end-to-end AI, enabling data scientists to prep, train, and deploy models with Python and Spark. Fully integrated with Fabric’s OneLake, MLflow, and Data Wrangler for seamless workflows.
Explore Key Features
Data Science Highlights
Unified Experience
Data science teams share the same platform as data engineers and analysts, allowing seamless data access via OneLake
AI Integration
Copilot in Fabric allows using natural language prompts for coding and model building, enhancing productivity.
Key Tools
Notebooks enable PySpark, Spark SQL, and Python modeling. MLflow tracks experiments. Data Wrangler cleans data with AI. Semantic Link connects to Power BI.
End-to-End Workflow
Supports the full cycle from data ingestion (via lakehouses) to model training, evaluation, and batch inferencing for business insights.