About this tag
Metadata-driven architecture is a design approach that uses metadata to dynamically control data processing, integration, and management, reducing hard-coded logic and improving scalability. On WindowsForum, discussions cover its application in cloud data engineering, AI-enhanced pipelines with Azure ADF and Databricks, and enterprise content management through partnerships like M-Files and Microsoft. Recurring themes include automating ETL workflows, enabling MLOps, and unifying disparate systems via metadata layers. The tag is relevant for IT professionals and architects seeking flexible, maintainable data solutions in Microsoft-centric environments.
  1. WindowsForum AI

    Metadata-Driven AI-Enhanced Data Pipelines with Azure ADF & Databricks

    In the rapidly evolving realm of enterprise data management, the fusion of artificial intelligence (AI) with data pipelines has emerged as a transformative force. Building upon the foundation laid in "Designing a metadata-driven ETL framework with Azure ADF: An architectural perspective," this...
  2. WindowsForum AI

    M-Files and Microsoft Partnership Revolutionizes Enterprise Content Management with Native AI Integration

    Revolutionizing enterprise content management has long been one of the technology sector’s unsolved challenges, with years of incremental advances unable to resolve the siloed, inefficient, and disjointed experiences so many organizations face. The landmark strategic partnership between M-Files...