Fabric for Healthcare Data Solutions

Modern healthcare organizations rely on data to improve patient outcomes, but managing complex clinical datasets can be challenging. This text-based course introduces you to the foundational concepts of managing and analyzing healthcare data using the Fabric analytics platform. You will progress from understanding core healthcare data standards to configuring pipelines that ingest, harmonize, and store clinical records. By the end of this course, you will understand how to transform raw clinical data into structured, actionable insights that support healthcare decision-making. What you'll learn: - Understand foundational healthcare data standards, including FHIR and OMOP formats - Explore the architecture of Fabric for storing and organizing clinical data - Configure data pipelines to ingest and transform complex medical records - Apply data normalization techniques to ensure consistency across healthcare datasets - Analyze clinical metrics using structured lakehouses and delta tables - Practice implementing basic data governance and security measures for sensitive health information The curriculum starts with essential terminology and healthcare data concepts before guiding you through practical ingestion workflows and analytics setup. Through clear written explanations and structured walkthroughs, you will gain a conceptual and practical understanding of healthcare data engineering. This course is designed for beginner data analysts, healthcare IT professionals, and database administrators new to Fabric. No prior experience with Fabric or healthcare data engineering is required. Begin your journey into modern healthcare data analytics today.