Data IntegrationData Engineering & Architecture
From Pipeline To Prompt Powering Fabric AI For Conversational AI Analytics
This session is primarily about data engineering & architecture within the Microsoft Fabric and SQL ecosystem. Learn practical patterns for building an end-to-end data lifecycle in Microsoft Fabric. This session covers architectures for centralizing diverse data into ADLS and OneLake, orchestrating transformations, and activating governed, analytics-ready data for AI workloads across the Microsoft ecosystem, with guidance for scalable, secure, and production-ready deployments.
Key takeaways
- Transformation models run per month Pipeline synced per month Rows synced per month
- Solution Context: Fivetran, Fabric & AI
Internal notes
No internal notes yet.

