From Descriptive to Predictive Analytics with Microsoft Fabric | Part 1

This article provides a comprehensive overview of an end-to-end demo of Microsoft Fabric's predictive analytics capabilities using the Kaggle Titanic dataset. The demo showcases various features in data engineering and data science, such as Notebooks, Pipelines, Semantic Link, MLflow (Experiments and Models), Direct Lake Mode for Power BI, and Lakehouse. The demo emphasizes the importance of design principles such as Medallion Architecture, DataOps practices, and the Data Mesh principle of "data as a product." It also covers how these principles have been applied to create diagnostic and predictive analytic data products. The article concludes by providing links to other content and parts of the demo.