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Practical Microsoft learning blueprints for Fabric, Power BI, Azure Data, AI, governance, CI/CD, and real-world analytics engineering projects.

  • Updated Jul 3, 2026
  • Jupyter Notebook

Open-source community study guide for Microsoft DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric. Aligned to the July 2026 blueprint. Covers Fabric lakehouses, warehouses, Real-Time Intelligence, PySpark, KQL, and more.

  • Updated Aug 1, 2026
  • JavaScript

WSQ - Microsoft Certified Fabric Data Engineer Associate (DP-700) Training (TGS-2024042602) - a hands-on 4-day / 32-hour intermediate course on Microsoft Fabric: ingestion, lakehouse and Delta Lake, Real-Time Intelligence with KQL, warehouse modelling, governance, monitoring and optimisation. 21 labs, 205-slide deck, Lesson Plan and Learner Guide.

  • Updated Aug 28, 2026
  • Python
energy-analytics-fabric-bi

This repository contains a set of three projects that showcase modern data engineering, reporting, and governance capabilities using Microsoft Fabric. The work is structured to represent the responsibilities of a Senior / Lead Analytics Engineer within a large energy company operating at scale.

  • Updated Aug 26, 2026
  • Python

Production-style Microsoft Fabric + Power BI adoption platform for a synthetic UK healthcare enterprise, covering OneLake, Lakehouse, Warehouse, semantic models, Real-Time Intelligence, governance, security, CI/CD, observability and phased modernisation.

  • Updated Aug 20, 2026
  • Python

Production-pattern healthcare data lakehouse: a Bronze→Silver→Gold medallion over Synthea Coherent FHIR, built twice — Polars + delta-rs locally and Spark + Delta on Microsoft Fabric — orchestrated with Dagster, emitting one versioned, test-gated Gold data contract.

  • Updated Jun 1, 2026
  • Python

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