DICOM Data Ingestion with Fabric Healthcare Data Solutions

Medical imaging data often remains siloed, making it difficult to analyze alongside other clinical data. This text-only course guides you through the process of integrating DICOM metadata into modern unified analytics environments. You will understand how to transition raw DICOM files into structured, queryable data, enabling comprehensive healthcare analytics and cross-modality insights. What you'll learn: - Understand the fundamentals of DICOM standards and medical imaging metadata structures - Configure ingestion pipelines to bring DICOM data into Fabric Lakehouses - Transform complex nested DICOM attributes into structured delta tables - Query and analyze imaging metadata alongside electronic health records - Apply best practices for data privacy, security, and healthcare compliance - Practice building scalable data pipelines optimized for clinical analytics The course begins with essential terminology and the architecture of clinical data standards. You will then progress through step-by-step written explanations on setting up ingestion, transforming schemas, and querying the resulting datasets. This course is designed for healthcare data analysts, clinical engineers, and data developers who are new to managing medical imaging data in modern cloud analytics platforms. No prior experience with Fabric is required. Start reading today to unlock the potential of your medical imaging metadata.