Matthias Nohl

Matthias Nohl is a consultant focusing on cloud platform & data analytics in the Azure cloud environment, data warehouse architecture and performance optimization and advises customers from various industries on data analytics topics.

Matthias Nohl's Sessions

AI in Action: Navigating Microsoft Fabric with Data Agents and CopilotsSQLBits 2026

Explore how AI empowers developers, data engineers, and business users in Microsoft Fabric. Learn Copilot and Data Agent capabilities across core experiences, practical use cases, and when to use AI vs. manual approaches.

From Dev to Dashboard – Azure SQL vs Fabric SQL in PracticeSQLBits 2026

Should you run your analytics workloads in Azure SQL or Fabric SQL? This session compares architecture, performance, cost, and integration. Learn where each platform shines — from dev to operational reporting — and get a decision framework to choose the right SQL engine for your scenario.

From Silos to Synergy: How Snowflake and Fabric Deliver Open, Interoperable Data ArchitecturesSQLBits 2026

Explore Microsoft Fabric’s new interoperability with Snowflake and Apache Iceberg. Learn integration patterns, governance, and performance tips to build open, future-proof data platforms without rigid architectures.

SAP to Fabric: A Step‑by‑Step Integration Playbook for S/4HANA & ECCSQLBits 2026

Learn proven patterns to integrate SAP S/4HANA and ECC with Microsoft Fabric. From extraction methods to delta handling, pipeline design, and governance - get practical steps for moving SAP data into OneLake the right way.

Securing Fabric from Lakehouse to Report – Why One Security Matters to EveryoneSQLBits 2026

Discover how One Security in Microsoft Fabric enforces consistent data access from OneLake to dashboards. Learn governance, Entra ID role alignment, and best practices for secure, flexible workspaces.

Successful Fabric PoC - These 5 things must not be forgotten!SQLBits 2026

Discover five critical factors for a successful Microsoft Fabric PoC—from clear objectives and robust infrastructure to stakeholder engagement, iterative testing, and effective knowledge transfer.