Why you should combine Data Mesh with Microsoft Fabric
For many years, organizations relied heavily on centralized data warehouses and data lakes to support analytics. These architectures worked well when data volumes were modest and business demands predictable. Today, however, companies operate in a landscape defined by rapidly increasing data sources, complex domain-specific requirements, and rising regulatory pressure.