Data Ingestion and Orchestration in Fabric

With the massive growth of data, organizations need efficient ways to collect, transform, and centralize information from diverse sources. Fabric provides a unified platform that simplifies this entire process, making modern data engineering accessible to everyone. This text-based course guides you through the foundational concepts of data ingestion and orchestration. You will read through clear explanations, study structured code patterns, and learn how to design reliable data workflows that move data seamlessly from source to destination. What you'll learn: Understand the core architecture of Fabric and its unified data lakehouse concept; Configure dataflows to clean and transform incoming data using a low-code interface; Build scalable data pipelines to orchestrate complex ingestion workflows; Use notebooks and modern dataframe APIs to write custom ingestion logic; Apply modern medallion architecture principles to organize your data lakehouse; Connect to diverse data sources, including databases, cloud storage, and web APIs. The course begins with essential definitions of data ingestion and lakehouse architectures. You will then progress from low-code dataflows to code-centric notebooks, ending with orchestration strategies to automate your entire data pipeline. This course is designed for beginner data engineers, analysts, and IT professionals who want to learn data ingestion. No prior experience with Fabric is required, though a basic understanding of data concepts is helpful. Start reading today to build your foundation in modern cloud data ingestion.