#Microsoft-fabric
Showing 14 of 14 repositories tagged #microsoft-fabric, ranked by stars
The IQ Series is a hands-on learning experience for Microsoft IQ: Microsoft's unified intelligence layer for the enterprise, spanning Foundry IQ, Work IQ, and Fabric IQ. The series includes video episodes, Jupyter notebooks, and Azure deployment templates.
Microsoft Fabric Unified Data Foundation with Databricks & Purview 2026
The Fabric Metadata-Driven Framework (FMD) is a cutting-edge accelerator designed to optimize data handling and utilization.
Terraform Provider for Microsoft Fabric
Examples for using the Terraform Provider for Microsoft Fabric
600+ free patterns and concepts for data engineers on Azure Databricks, Microsoft Fabric, and PySpark. 12 books covering the full stack. Free forever.
Spark-free Python utilities for Microsoft Fabric focused on Data Engineering using Polars and delta-rs
Generate comprehensive documentation from Power BI PBIP/TMDL semantic models — instantly, in your browser
Open Source data engineering demo project using dbt, DuckDB, dlt, Dagster and Metabase. Two storage modes for the delta tables are supported: local and Microsoft Fabric Onelake.
Unified Data Foundation with Microsoft Fabric with Options to Integrate with Azure Databricks and Microsoft Purview
'Talk to Your Factory' demo leveraging Edge (Azure IoT Operations), Cloud (Microsoft Fabric), and a Factory Agent (Azure OpenAI), to streamline factory operations. It allows real-time, natural language communication with factory systems, helping operators quickly identify issues, boost efficiency, and minimize downtime.
Big Data CONFERENCE Europe 2025 🇱🇹 AI, Cloud and Data Conference - Build Your First End-to-End Lakehouse Solution (aka.ms/fabconlake)
A comprehensive educational resource hub dedicated to mastering Microsoft Fabric, offering in-depth tutorials, real-world use cases, and hands-on guides for seamless end-to-end analytics
A practical reference for engineers working with Microsoft Fabric. Whether you are preparing for a role, onboarding to the platform, or running Fabric in production, these patterns will save you time. 250 scenarios covering the full data engineering stack. Each one explains the concept, the common mistake, and the right approach.