OneLake without another copy problem
Shortcuts, mirroring, lakehouses and warehouses can reduce movement, but teams still need rules for authoritative data, domain ownership and when duplication is justified.
Microsoft Fabric
Robra supports Microsoft Fabric from readiness and capacity planning through data migration, engineering, warehousing, real-time analytics, semantic modeling and Power BI delivery. Teams can add focused help for one workload or establish the governance, release process and support coverage needed to run Fabric as a shared enterprise platform.
Fabric brings the workloads together. The operating model still matters.
OneLake, Data Factory, lakehouses, warehouses, Real-Time Intelligence and Power BI share one platform and capacity model. That convenience also links workspace design, security, deployment and performance. A pipeline change can affect a semantic model, while an inefficient query or refresh can consume capacity needed by unrelated teams.
Robra helps design the domain, workspace and capacity model before moving workloads. Data engineers, warehouse and Power BI specialists then build, reconcile and release the platform with governance, monitoring and support ownership that fit the organization.
Talk to an expertLifecycle coverage
Flexible expertise at every stage.
Assess
Review data sources, existing Azure and Power BI assets, capacity, security, governance and team readiness.
Implement
Build Fabric workspaces, pipelines, lakehouses, warehouses, databases, semantic models and reports.
Integrate
Connect batch, streaming and mirrored data through Data Factory, shortcuts, gateways and event services.
Test
Validate transformations, reconciliation, semantic logic, access, performance and report behavior.
Deploy
Promote workspace items through Git and deployment pipelines with controlled data and configuration changes.
Stabilize
Resolve capacity pressure, failed pipelines, refresh issues, model defects and access problems after launch.
Optimize
Improve Direct Lake design, models, pipelines, workload placement, cost and self-service usability.
Support
Provide named engineering, Power BI, governance and capacity administration support.
The Fabric choices that shape performance, trust and scale.
The strongest implementations decide where data lives, who owns each item and how shared capacity is protected before self-service expands.
Capacity as a shared production resource
Pipelines, Spark jobs, warehouse queries, semantic-model refresh and interactive reports compete for capacity. Monitoring needs to connect throttling and consumption to the workload that caused it.
Direct Lake and semantic-model design
Direct Lake removes some refresh constraints, not the need for clean dimensions, measures, security and model ownership. Performance depends on the table and model design beneath the report.
Workspace and deployment discipline
Domains, workspaces, Git integration and deployment pipelines must account for item dependencies and environment-specific configuration. Promotion should not depend on someone remembering a manual setting.
Support areas
Where teams may need additional support.
Microsoft Fabric coverage
Fabric workloads, data foundations and release capabilities in scope.
Fabric readiness, architecture and capacity planning→OneLake domain, workspace and medallion design→Data Factory migration and pipeline delivery→Lakehouse, warehouse and database implementation→Real-Time Intelligence and event processing→Semantic models, Direct Lake and Power BI→Governance, CI/CD and release readiness→Capacity, performance and platform support→
OneLake
OneLake Catalog and Shortcuts
Data Factory
Data Engineering
Lakehouse
Data Warehouse
Fabric Databases
Mirroring
Real-Time Intelligence
Eventstream and Eventhouse
Power BI
Direct Lake and Semantic Models
Data Science
Purview Governance
Git and Deployment Pipelines
Capacity Administration
Built around your team
Choose the support shape that fits the work.
Start with one named specialist, a coordinated project team, flexible ongoing support or a shared managed service. Robra adapts the team as priorities change and keeps context with the people doing the work.
Embedded specialists
One or more named specialists join your team. You set the day-to-day priorities, and Robra keeps the support aligned as the work changes.
Project team or full PMO
A coordinated team covers selected workstreams or the full program alongside your sponsors and internal leads.
Flexible ongoing support
Keep a consistent core team available for releases, enhancements, support issues and short bursts of functional or technical help.
Shared managed service
Robra coordinates the service with your team. Priorities, coverage and ways of working are built around your environment and adjusted as needs change.
FAQ
Microsoft Fabric support from readiness through daily operation.
Can Robra help decide what should move to Fabric and what should stay where it is?
Yes. We assess the existing Power BI, Azure, warehouse and lake estate by workload, dependency, performance, governance and cost. The result can be a phased move, coexistence pattern or a recommendation to leave a workload in place.
Can one team cover data engineering and Power BI?
Yes. Robra can coordinate Data Factory, lakehouse, warehouse, real-time, semantic-model and reporting work so source logic and business measures are designed and tested together.
Can Robra help when Fabric capacity is already under pressure?
Yes. We trace utilization to pipelines, Spark, SQL, refresh and interactive activity, then address scheduling, model design, query behavior, workload placement and capacity administration.
Can support flex after migration?
Yes. The migration team can scale down to a consistent core covering platform administration, failed workloads, model changes, release coordination and improvement work.
Start with the Fabric workload, capacity or migration decision in front of you.
We will map the dependencies and make the first move practical, with engineering and support that can flex as the platform grows.