microsoft-fabric-data-pipelines

This project ingests live Formula 1 telemetry, processes it through a highly scalable Medallion Lakehouse architecture (Bronze, Silver, Gold) using PySpark, and deploys an XGBoost Classification engine. The pipeline automatically evaluates Friday Race Pace and Saturday Qualifying track position to predict Sunday race outcomes, emailing the results

Microsoft Fabric Data Engineering Portfolio — DP-700 certification preparation. PySpark · Delta Lake · KQL · Azure Data Studio

Air cargo lakehouse on Microsoft Fabric. Medallion architecture (bronze, silver, gold Delta tables) built in PySpark and orchestrated with a Fabric data pipeline. Power BI semantic model in progress.

Microsoft Fabric end-to-end sample: medallion lakehouse, PySpark cleansing with reject handling, Direct Lake semantic model, Data Factory pipeline

End-to-End Microsoft Fabric Analytics Platform implementing Medallion Architecture, Lakehouse, Warehouse, Semantic Modeling, and Executive KPI Reporting using Power BI.

Public-safe Oracle-to-Microsoft Fabric reference pipeline for radiology turnaround-time analytics, featuring Python ETL, PySpark validation, Delta Lake auditing, deduplication, and CI.

Shows how to operationalize fabric-cicd to work with Microsoft Fabric and YAML Pipelines in Azure DevOps and perform automated tests

Free browser-based practice tests for IT certifications, starting with Microsoft Fabric Data Engineer (DP-700). Instant answer checking with explanations and a score history. No sign-up needed.