Microsoft Fabric Updates Blog

Integrating Dynamics 365 Business Central with Microsoft Fabric using Open Mirroring with BC2Fab workload (Generally Available)

Integrating Dynamics 365 Business Central with Microsoft Fabric is a common requirement as organizations modernize their analytics platforms. The primary challenge is not connectivity, but establishing an architecture that scales predictably, protects the ERP system, and enables analytics teams to focus on insights rather than maintaining ingestion pipelines.

Third-party support for OneLake security

As modern data lakes are built on open-source technology like Delta and Iceberg, customers expect to use the analytics engines and services that best fit their needs—without copying data or redefining security. This creates a clear requirement: security must be defined once and enforced consistently everywhere data is consumed.

The power of the Microsoft Fabric ecosystem: ISVs building natively on Fabric

At Microsoft, we’ve always believed that platforms win when ecosystems thrive. Each year, customers, partners, and data professionals come together at FabCon Atlanta to see how Microsoft Fabric is evolving—not as a standalone product, but as a connected platform amplified by its ISV and SI ecosystem.

Introducing Planning in Microsoft Fabric IQ: From historical data to forecasting the future

For years, organizations have invested heavily in analytics to understand what happened in their business. Dashboards, reports, and KPIs are now table stakes. But when it comes to planning—budgets, forecasts, scenarios, and targets—most teams still rely on disconnected tools, manual processes, and stale data. The result is a familiar challenge: leaders are asked to make high stakes decisions with fragmented context, competing assumptions, and plans that quickly drift away from reality.

FabCon and SQLCon 2026: What’s new in Microsoft OneLake

As AI reshapes every industry, one reality is clear: data is no longer just an asset; it is your competitive advantage. The speed of AI innovation demands seamless data access, rapid insight generation, and the freedom to iterate without friction. Organizations that can unify and activate their data will move faster, build smarter applications, and unlock greater business value.