17 results for “topic:microsoftfabric”
Early access to new features for Microsoft Fabric's Semantic Link.
Rules-based metadata testing for the Microsoft Power BI visual layer and other Fabric Items.
FabricFlow is a code-first Python SDK for building, managing, and automating Microsoft Fabric data pipelines, workspaces, and core items. It provides a high-level, object-oriented interface for interacting with the Microsoft Fabric REST API, enabling you to create, execute, and monitor data pipelines programmatically.
A CI/CD framework for end-to-end automation of Microsoft Fabric projects, integrating Azure DevOps Pipelines, Service Principal authentication, and automated deployment powered by pyFabricOps.
This project explores how Microsoft Fabric and Azure OpenAI can analyze a document repository of text-based data. It serves as a submission for the Global Microsoft Fabric AI Hackathon.
A comprehensive, community-curated reference guide for Power Query M language. Includes categorized syntax, examples, and best practices for over 200+ functions across tables, text, numbers, dates, lists, records, and more. Ideal for Power BI, Excel, and dataflow developers.
FabricAgent Prompt Explorer — curated GIAC/Workforce prompts with SPA deploy on Azure App Service (OIDC)
Repository for Microsoft Fabric hands-on labs
Infrastructure as Code to deploy Microsoft Fabric environments using Terraform
This project has used Fabric/Power BI service to create dataflow from locally hosted SQL server, Analysed and Published report on Power BI service
This repo contains details about how API data is extracted using Python and using Pyspark performing transformations and loading the data from Bronze to Silver to Gold tables and creating PowerBI report on the top of the Gold table present in the lakehouse
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My personal blog
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Orchestrating the future of work through Agentic Intelligence. 10 production-ready projects—from Self-Healing IT to Executive War Rooms. Senior IT Strategy | AI Architect | MS Fabric.
An interactive Power BI dashboard used by coaches from the University of Maryland to track athlete body composition over time.
This project streamlines the end-to-end process of collecting, analyzing, and visualizing daily news. Using Microsoft Fabric and the Bing Web Search API, it delivers up-to-date insights into news sentiment and trends.