If you work with the Microsoft data stack and have something useful to share, we’re interested!

We’re open to a wide range of topics across the ecosystem, including (but not limited to):

• Power BI (DAX, modeling, performance, governance, UX)
• Microsoft Fabric
• End-to-end solutions and architecture
• Real-Time Intelligence (event streams, KQL, streaming scenarios)
• Data engineering and pipelines
• Lakehouse / Warehouse patterns
• Semantic models and reporting
• AI capabilities (Copilot, AI-powered features, practical use cases)
• Integration scenarios across Fabric workloads
• Azure data services (ADF, Synapse, Databricks, etc.)
• SQL Server / on-prem BI
• Data engineering, analytics engineering, and data architecture in general
• Real-world project insights, lessons learned, and trade-offs

Beginner-friendly sessions are just as welcome as deep dives.
A solid intro that helps people get started is just as valuable as a highly specialized topic.

Session Format

• Ideally 60 minutes
• Also fine: 30 or 45 minutes (we usually combine two shorter talks into one evening)
• Languages: German or English

What makes a good submission

• Clear focus: what problem are you solving?
• Clear takeaway: what will people walk away with?
• Practical > theoretical
• Real examples, demos, or lessons learned
• Honest insights (including things that didn’t work)

A note on community expectations

We aim for a respectful, inclusive, and practical learning environment.

That means:

• Treating others professionally and constructively
• Staying focused on the topic and respecting different approaches and opinions
• Prioritizing knowledge sharing over promotion

Please also check our Code of Conduct.

• A supportive and engaged audience
• A relaxed environment to share your experience
• Visibility within the local data community