This session offers a hands-on comparison of two modern analytical architectures: Apache Arrow, known for ultra-fast in-memory processing, and Microsoft Fabric, a unified analytics platform built on Delta Lake, Apache Spark, and Direct Lake.

We will walk through:
- How both environments were set up in Azure (AKS, Fabric Lakehouse)
- A benchmark scenario using IoT telemetry data at scale
- Measured performance results: latency, read/write efficiency, transformation
- Integration patterns with Power BI, Python, SQL Notebooks
- Governance, security, and enterprise readiness

This session is ideal for data engineers, architects, and BI professionals evaluating high-performance data processing frameworks. We will conclude with a live demo showing how the test pipeline was implemented and measured.