- In Microsoft Fabric, data scientists can manage data, notebooks, experiments, and models while easily accessing data from across the organization and collaborating with their fellow data professionals.
- Microsoft Fabric notebooks serve as a comprehensive tool for data exploration, enabling users to uncover hidden patterns and relationships in their datasets.
- Data Wrangler serves as a comprehensive tool for preprocessing data. It enables users to clean data, handle missing values, and transform features to build machine learning models.
- In Microsoft Fabric, data scientists can train models in notebooks, track their work in experiments, and manage their models with MLflow.
- Save and use your machine learning models in Microsoft Fabric to generate batch predictions and enrich your data.