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Learn to navigate Microsoft Fabric's interface and build complete data pipelines through hands-on exercises in this comprehensive tutorial. Explore the Fabric interface and master switching between different experiences while creating organized workspaces for your data projects. Set up a three-tier lakehouse architecture consisting of Raw, Glance/Silver, and Curated layers for efficient data storage and processing. Build and configure data pipelines from scratch, connecting to Azure Blob Storage to load CSV files into your data infrastructure. Transform your data using Dataflows by changing data types, filtering rows, and applying various data processing techniques. Save your processed data into target lakehouses optimized for analytics and reporting. Master the complete workflow from data ingestion through transformation to final loading, gaining practical experience with Microsoft Fabric's end-to-end data engineering capabilities suitable for both beginners and those looking to enhance their existing data engineering skills.
