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A practical three day technical course for participants who already understand the fundamentals of Microsoft Fabric and want to design, build, and operate more robust data and analytics solutions. The agenda focuses on Lakehouse architecture, Delta tables, Spark and notebooks, ingestion and orchestration, Fabric Warehouse, performance optimization, semantic models, Direct Lake, governance, monitoring, and application lifecycle management. The course emphasizes practical architectural and implementation decisions without attempting to cover every specialized Fabric workload.
You will deepen your understanding of how Microsoft Fabric components can be combined into scalable data engineering and analytics solutions. You will work with Lakehouse and Warehouse architectures, Spark based transformations, pipelines, semantic models, performance techniques, and production deployment practices. You will also learn how to improve security, maintainability, observability, and collaboration across Fabric environments.
*We customize the course outline and content to your specific needs and relevant use cases.
Module 1: Designing scalable Fabric data architectures
Module 2: Advanced Lakehouse and Delta table design
Module 3: Data transformation with notebooks and Spark
Module 4: Advanced ingestion and pipeline orchestration
Module 5: Fabric Warehouse architecture and data modeling
Module 6: Warehouse ingestion and transformation with T-SQL
Module 7: Performance optimization across Fabric
Module 8: Semantic models and Direct Lake
Module 9: Security and governance in Fabric
Module 10: Monitoring and production troubleshooting
Module 11: Git integration and collaborative development
Module 12: Deployment pipelines and production architecture
Hands-on learning with expert instructors at your location for organizations.
Master new skills guided by experienced instructors from anywhere.
