Help enterprises unify Snowflake data estates with Microsoft Fabric’s OneLake to build a single governed, AI-ready data foundation that drives analytics, reporting, and AI use cases across business functions without moving or copying data.
Who It's For
- Organizations running Snowflake in production or planning deployment
- Azure-first or hybrid/multi-cloud footprints
- Organizations struggling with duplicate data pipelines, governance fragmentation, or mounting data costs
Value Proposition
Unified Data Estate. Design and implement a common Microsoft OneLake-based open lakehouse where Snowflake stores Iceberg tables accessible to Microsoft Fabric engines (Data Engineering, Data Science, Data Warehouse, Microsoft Power BI) without data duplication.
Governed, Secure Analytics and AI. Use Microsoft Entra ID, Microsoft Purview (or equivalent) to centralize security and governance across Snowflake and Microsoft Fabric workloads. Enable easy user-level access for insights with Microsoft Power BI and Microsoft Copilot Studio over the same datasets.
Lower TCO & Faster Insights. By removing redundant pipelines, minimizing data movement, and co-locating execution where possible, reduce operational cost and shorten analytics-to-insight cycles.
Offer Components
1. Assessment & Strategy
- Data estate audit: inventory Snowflake workloads, Microsoft Fabric usage, data sources
- Workload classification: analytics, reporting, AI, machine learning
- Interoperability readiness check (Iceberg support, Microsoft OneLake structure)
- ROI/TCO modeling and cost optimization scenarios
2. Architecture & Design
- Microsoft OneLake open lakehouse blueprint with Iceberg and Delta tables
- Security and governance model ( Microsoft Entra ID, data access, audit)
- Integration design with Snowflake: Iceberg external volumes, metadata sync
- Data flows for cross-platform workloads
3. Implementation & Enablement
- Configure Microsoft Fabric workspace, Microsoft OneLake buckets, and Snowflake external volumes
- Publish and manage Iceberg tables in Microsoft OneLake for Microsoft Fabric and Snowflake access
- Build governance catalog and policies
- Create reusable pipelines (Microsoft Fabric Data Factory) and BI artifacts (Microsoft Power BI)
4. AI & Analytics Acceleration
- Embed data into Microsoft Copilot Studio and Microsoft Power BI
- Build sample AI dashboards and data products
- Enable SQL, Notebook, and Spark workflows that span engines
- Train business users on self-service analytics
5. Optimization & Monitoring
- Performance tuning across Snowflake and Microsoft Fabric queries
- Cost governance and workspace capacity optimization
- Logging, monitoring, alerting, and SLAs
Deliverables
- Data foundation blueprint
- Governed open lakehouse implementation
- Cross-platform data access & analytics
- Microsoft Copilot and Microsoft Power BI assets
- Runbook & playbooks for ongoing operations
Expected Outcomes
- Single trusted data copy for analytics and AI without duplication
- Simplified governance and access across Snowflake and Microsoft Fabric workloads
- Faster insights delivered through Microsoft Power BI and Microsoft Copilot
- Lower operational cost by collapsing redundant pipelines
Optional Add-ons
- Migration path from legacy warehouses to the open lakehouse
- Managed Service for ongoing optimization
- Training & certification for Snowflake and Microsoft Fabric teams
Pricing/p>