Stabilize
Move priority workloads to Azure, reduce datacenter dependency, right-size infrastructure, and prepare operational data for governed analytics.
dc2fabric turns a complex datacenter-to-cloud conversation into a clear partner motion: define the strategy, assess the estate, choose the right path for each workload, realize value, then keep optimizing.
The final stage is highlighted because the engagement shifts from migration delivery into continuous optimization, Fabric expansion, and AI-enabled growth.
Every workload needs a deliberate path. Some workloads should move quickly and become better operated on Azure. Others deserve deeper transformation because the business needs agility, scale, analytics, or AI readiness.
Move priority workloads to Azure, reduce datacenter dependency, right-size infrastructure, and prepare operational data for governed analytics.
Modernize applications and data platforms with managed Azure services, Fabric integration, governance, and AI-ready foundations.
SQL Managed Instance and Azure SQL Database can mirror supported operational data into Microsoft Fabric, where it can become governed data products for Power BI, machine learning, real-time intelligence, and AI scenarios.
Validate source support, permissions, networking, and capacity before committing timelines.
Recreate Fabric security, ownership, labels, endorsement, lineage, and access reviews explicitly.
Treat Fabric as the analytics operating model, not just a replication target.
See how strategy, assessment, paths, execution, value, and optimization fit together.
Workload decisionsCompare the Two PathsChoose Stabilize or Transform for each workload using assessment evidence.
Partner enablementUse the Partner GuidePrepare customer conversations, objection handling, Fabric readiness, and delivery planning.