Benedict Albrecht

Over the years, our journey with Microsoft Dynamics 365 has evolved alongside the platform’s continuous advancements in data integration and analytics. Having worked extensively with Dynamics 365 Finance and Operations (F&O) as one of the most complex ERP systems in the suite, we have experienced the full spectrum of data export and integration approaches — from Bring Your Own Database (BYOD) to Data Lake Export and now Microsoft Fabric. We have seen the strengths and limitations of each stage firsthand: BYOD offered an accessible starting point but came with unreliable incremental loads and schema drift issues; Data Lake Export provided scalability but required the cumbersome setup and maintenance of Common Data Model (CDM) utilities. Through these lessons, we’ve come to appreciate the evolution toward Microsoft Fabric, which — while not perfect — represents the most solid and future-ready foundation for integrating Dynamics 365 data into a modern analytics platform. In our recent projects, we’ve implemented end-to-end architectures in Microsoft Fabric, using Dynamics 365 F&O as the primary source system. By leveraging Dataverse and Lakehouse capabilities, we established a medallion architecture that supports incremental processing, unified data management, and near real-time insights. But success in such projects requires more than just technology: it’s about designing the right architecture from the start — one that accounts for the complexity of ERP systems, integrates CI/CD pipelines early on, and respects the multi-environment nature of Dynamics 365. We look forward to sharing our experiences and best practices on how to architect and operationalize a Dynamics 365 integration with Microsoft Fabric — from understanding the pitfalls of traditional approaches to building a scalable, governed, and automated data foundation for analytics.

Git for Beginners in Fabric: Starting Small, Thinking Big Git doesn’t have to be intimidating. In this session we’ll show how Fabric’s built-in Git integration can help you save and version your work, roll back when something goes wrong, and collaborate through branches—no complicated tricks required.