Join the Houston Fabric User Group for a hands-on Houston Global Fabric Community Day Conference designed to help you level up your skills in Microsoft Fabric and Power BI. Whether you’re just getting started or looking to deepen your understanding, this interactive session will walk you through real-world use cases, demos, and expert insights that will leave you ready to build, analyze, and optimize data workflows using the Microsoft Fabric platform.
Expect practical tips, live demos, and plenty of time for questions and networking with fellow data professionals in the Houston community.
Whether you're a data engineer, analyst, or IT leader, this mini bootcamp will give you the foundational tools and strategies to get the most out of Microsoft Fabric.
Spots are limited—register now to reserve your seat!
We're excited to open our Call for Sessions for the Houston Global Fabric Community Day Conference, hosted by the Houston Fabric User Group! This is your chance to share your knowledge, showcase your projects, and contribute to a thriving data community. We welcome speakers from all backgrounds and experience levels who are passionate about Microsoft Fabric, Power BI, and the broader data ecosystem.
✅ Acceptable Topics & Areas of Focus
We’re looking for sessions that fall within, but are not limited to, the following themes:
Microsoft Fabric in Practice
Power BI Integration
Data Engineering & Analytics
Governance & Security
Performance Optimization
Organizational Use Cases
If you have something unique to share that doesn’t fit these buckets but is relevant to the Microsoft Fabric and Power BI ecosystem, we’d love to hear it!
🎙️ Session Formats
🎯 Audience & Levels
We are designing content for a wide range of attendees:
We recommend clearly labeling your session as:
This helps attendees select sessions that match their learning goals.
🚀 Ready to Submit?
Bring your best stories, hands-on tutorials, or tech tips and join us in shaping an unforgettable Fabric-focused event for the Houston community.
If you haven't logged in before, you'll be able to register.
Using social networks to login is faster and simpler, but if you prefer username/password account - use Classic Login.