Fabric Modernisation Without the Fragility
Problem Statement
Enterprises expect Fabric to provide fast insights and a single source of truth. In practice, early rollouts often result in fragmented OneLake layouts, unstable pipelines, and inconsistent BI, creating confusion instead of clarity.
Pain Signals
“Power BI refreshes are slow or failing again.”
“After go-live, no one really owns the platform.”
“Fabric looked unified, but everyone built their own version.”
Fabric Lakehouse Modernisation
Challenges
Solution
Technology Stack
Outcomes
Problem Statement
Enterprises expect Fabric to deliver fast insights and a single source of truth. In reality, early Fabric rollouts create fragmented OneLake layouts, unstable pipelines and inconsistent BI, leaving teams with more confusion than clarity.
Why It Matters
Cost: Inefficient workloads and rework inflate Fabric and Power BI spend.
Risk: Poor governance and lineage create audit and compliance exposure.
Reliability: Unstable refreshes and pipelines erode confidence in reports.
Compliance: Data ownership and access controls remain unclear.
Velocity: Analysts revert to manual extracts and shadow datasets.
What Cloudaeon Delivers
Cloudaeon modernises Microsoft Fabric into a unified, governed analytics platform. We stabilise OneLake layouts, rebuild semantic models, optimise DAX and warehouse performance, fix Data Factory orchestration and activate Purview-driven governance and lineage.
Fabric is treated as a single system. Data, analytics and governance engineered together delivering faster insights, predictable performance and enterprise trust.
We deliver this within our Lakehouse Modernisation Solution, with a clear transition to POD ownership and ongoing operations.
Ideal For
Enterprises migrating from Synapse or legacy BI
Analytics and platform teams adopting Fabric at scale
CTOs and data leaders needing reliable, governed analytics
Pain Signals
Most of the teams we speak with notice the following challenges:
“Fabric looked unified, but everyone built their own version.”
“Power BI refreshes are slow or failing again.”
“We don’t trust the numbers coming out of Fabric.”
“After go-live, no one really owns the platform.”
Conclusion
If Fabric feels slow or unreliable, the platform isn’t the problem, ownership is.
When Fabric is engineered and governed as one system, it becomes a trusted decision layer, not a BI bottleneck.
If you cannot trust what Fabric shows today, it’s time to stop tuning symptoms and address the architecture behind them.
Talk to a Fabric expert and see what it takes to make Fabric business-critical.