From Latency to Instant Insights: Building Real-Time Data Pipelines

Join us to explore how Microsoft Fabric’s Real-Time Intelligence stack empowers enterprises to break through latency barriers—especially when working with diverse data platforms like on-prem SQL Server, IoT Event Hubs or Kafka, Snowflake. Learn how to build low-latency pipelines using Eventstream, KQL DB, and Lakehouse, and see real-world integration patterns that eliminate the need for heavy ETL infrastructure.

Takeaways:

• Understand the core components of Fabric RTI: Eventstream, KQL DB, Direct Lake, and Copilot
• Real-time ingestion patterns for external systems:
• SQL Server with CDC
• Kafka – devices telemetry
• Snowflake – operational data
• Design principles: push-based vs pull-based pipelines
• Cost and performance considerations: reducing latency without increasing overhead
• Common pitfalls in real-time architecture—and how to avoid them
• Demo or case study: Taco-bell or Elevance Health

Persona: Enterprise architects, data engineers, IT leaders, integration specialists