Why Cloudaeon for Fabric?
Microsoft Fabric adoption often stalls at scale due to fragmented design, weak governance, and execution gaps.
Cloudaeon fixes this with platform first Fabric engineering and proven delivery models.
Modernise
Fabric Platforms
Resolve fragmented workspaces, refresh failures, semantic model issues and governance gaps to restore performance and trust.
Deliver Production Ready Analytics & AI on Fabric
Engineer lakehouse-first platforms that enable enterprise AI with Azure AI, Fabric, Cognitive Search and Purview.
Scale Delivery with Fabric Engineering PODs
Deploy high velocity, governed engineering teams focused on outcomes, not staff augmentation.
Engineering PODs for Fabric & Azure AI
Our Engineering PODs deliver Fabric and Azure AI outcomes with using repeatable patterns, solutions and engineering principles, not ad-hoc contractors.
Our Fabric
Engineering Expertise
Accelerate Fabric adoption with the right architecture, governance and AI engineering from day one.
Fabric Platform Engineering
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Fabric workspace architecture and design
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Governance, security and Microsoft Purview integration
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OneLake and Lakehouse architecture
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Data pipelines and workloads (ETL / ELT)
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Semantic model optimisation and performance tuning
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Power BI alignment for enterprise reporting
Azure AI Engineering
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Retrieval-augmented generation (RAG+) pipelines using Azure OpenAI, Cognitive Search and Fabric Lakehouse
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Agent workflows with tools, automations and orchestration
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AI operations including evaluation, monitoring, governance and safety controls
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Prompt lifecycle management and versioning
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Model deployment and CI/CD for production AI systems
Data Platform Integration
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Azure Data Factory to Microsoft Fabric migration
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Delta Lake design patterns and optimisation
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End-to-end lineage and metadata management
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Cost and performance optimisation across data workloads
Fabric Launchpad
Standardised workspace structure templates
Pipeline starter kits for ingestion and transformation
Semantic model foundations
Monitoring and operational dashboards
Proven governance and security patterns
Each POD includes:
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1 Principal or Lead Engineer for architecture and technical ownership
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2 to 3 Data Engineers specialising in Fabric and Azure
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1 Analytics or BI Engineer
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Optional AI Engineer for RAG+ and agent based workflows
Microsoft Use Cases & Success Outcomes
How We Help Fabric AEs, CSAs & PDMs
We help Microsoft teams unblock Fabric, Azure Data, and Azure AI opportunities that require deep engineering execution to move forward.
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Rapid technical assessments for stalled or at risk customers
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Validation of AI use cases and production readiness
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Clear co-sell alignment and shared delivery ownership
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Build-with and build-for engagement models
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Fast deployment of Fabric and Azure AI Engineering PODs
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Weekly or bi-weekly execution syncs
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Accelerated delivery in lighthouse and strategic accounts
Fabric Certifications & Expertise
40+
Fabric Certified Engineers & Architects
27+
Successful Engagements Globally
Our Clients
Yes. Cloudaeon is a Microsoft Solutions Partner in Data & AI with deep expertise across Microsoft Fabric, Azure Data and Azure AI. Cloudaeon is trusted by Microsoft AEs, CSAs and PDMs to support complex, high-risk engagements where execution quality and production outcomes matter.
Cloudaeon supports the full Microsoft data, analytics and AI ecosystem. This includes Microsoft Fabric, Azure Data Factory, OneLake and Lakehouse architectures, Power BI, Microsoft Purview for governance, Azure OpenAI, Cognitive Search and broader Azure data and AI services. The focus is on engineering integrated platforms that perform reliably at enterprise scale.
Yes. Cloudaeon provides end-to-end Microsoft Fabric implementation and ongoing support. This includes Fabric workspace architecture, governance and security design, data pipelines, semantic model optimisation, Power BI alignment and operational monitoring. Fabric environments are engineered to be production-ready, governed and scalable from day one.
Yes. Cloudaeon specialises in modernising and migrating legacy and Azure-based data platforms to Microsoft Fabric. This includes migrations from Azure Data Factory and Synapse to Fabric, architectural refactoring for OneLake and Lakehouse-first designs, and optimisation for cost, performance and governance.
Getting started typically begins with a technical assessment or a conversation with a Fabric Lead Architect. From there, Cloudaeon defines a clear execution path, whether that’s stabilising an existing Fabric environment, accelerating adoption through the Fabric Launchpad, migrating platforms or deploying a Fabric Engineering POD to deliver outcomes quickly and predictably.