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.
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.
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.
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.
In a short period of time, Microsoft Fabric has emerged as one of the fastest growing analytics platforms in the industry, unifying data engineering, analytics, governance, and AI into a single, integrated experience. For many organizations, Fabric represents a long-awaited shift away from fragmented data estates toward a shared, trusted foundation.
