Modern Data Engineering for AI Applications with Microsoft Fabric

AI applications depend on scalable and reliable data platforms.
This session explores how Microsoft Fabric enables modern data engineering workflows through lakehouse architecture, data ingestion, orchestration, Spark-based processing, analytics, and governance.

Attendees will learn how to build strong data foundations to support analytics, machine learning, and generative AI workloads.

Key takeaways:

• Modern lakehouse architecture
• Building scalable data pipelines
• Spark and Fabric integration
• Data engineering best practices for AI workloads

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