Data Science in Microsoft Fabric
What is Data Science?
Data Science in Microsoft Fabric is an interdisciplinary approach that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Microsoft Fabric provides a comprehensive, unified platform for all your data science needs.
Key Capabilities
Microsoft Fabric offers powerful tools for data science that include:
- Collaborative notebooks with Spark for interactive development
- Built-in machine learning libraries (scikit-learn, TensorFlow, PyTorch)
- Advanced data visualization tools
- Seamless integration with Azure Machine Learning
- Large-scale model deployment with MLflow
- ML model lifecycle management
Data Science Workflow
Data Preparation: Clean, transform, and prepare your data using Spark notebooks for analysis and modeling.
Model Development: Build and train machine learning models using popular libraries and scalable compute resources.
Deployment & Monitoring: Deploy models to production and monitor their performance with built-in model management tools.
Enterprise Features
- Enterprise-grade data governance and security
- Real-time collaboration across data science teams
- Experiment tracking and versioning
- Integration with existing data sources
- Auto-scaling compute resources based on demand