The session will explore how Fabric’s low‑code capabilities streamline the journey from raw data to curated, analytics‑ready structures. We’ll walk through a pattern that begins with ingesting semi‑structured data, then applies transformation logic using Fabric’s shortcut‑based approach to shape that data into governed lakehouse tables.

From there, we’ll introduce Materialized Lakehouse Views as a way to create refined dimensional structures, apply semantic rules, and assess data quality—all without relying on heavy custom code.
This end‑to‑end flow highlights how Fabric enables teams to build scalable, maintainable ETL pipelines using intuitive, declarative tools that support both agility and enterprise governance.