
Microsoft Fabric
How to migrate a Snowflake data warehouse to Microsoft Fabric without downtime. Data model translation, OneLake shortcut strategy, capacity planning, and the 8-phase migration EPC Group runs.

Many Fortune 500 enterprises are reconsidering Snowflake post-IPO pricing and the Databricks acquisition pressure. Microsoft Fabric became a credible Snowflake alternative in 2024 and has matured rapidly through 2026 — for organizations already on the Microsoft stack (M365, Azure, Power BI), consolidating analytics onto Fabric is increasingly attractive on TCO, governance, and Copilot integration. EPC Group has migrated 11 enterprise Snowflake workloads to Microsoft Fabric since GA. The 8-phase migration framework: (1) inventory + scoring — every Snowflake database, schema, table, and view scored on migration complexity; identify workloads with high Fabric fit (BI consumption, semantic models, Copilot grounding); identify workloads with poor fit (heavy unstructured ML, long-tail Snowpark workloads); (2) capacity planning — Fabric F-SKU sizing based on Snowflake credit consumption + workload characteristics, Power BI Premium consolidation opportunity assessment, governance and tenant config plan; (3) data model translation — Snowflake DDL → Fabric Lakehouse / Warehouse DDL; identify Snowflake-specific syntax requiring rewrites (e.g., LATERAL FLATTEN → Spark explode); (4) ingestion strategy — OneLake shortcuts for low-touch data; Fabric Data Factory pipelines for transformation-heavy workloads; mirroring for live-replication scenarios; (5) parallel run — both warehouses live during transition with row-count and aggregate-checksum reconciliation; (6) consumer migration — Power BI semantic models, Tableau dashboards, custom apps; mass repointing of connection strings via service accounts; (7) decommission — staged Snowflake credit reduction, contract renegotiation, phase-out timeline; (8) optimization — Fabric capacity rightsizing post-migration, cold-storage strategy for compliance retention, Direct Lake mode adoption for high-traffic semantic models. Typical migration outcome: 30-50% reduction in annual data platform spend, 60% faster Power BI Direct Lake refresh vs prior import-mode, full Microsoft Purview lineage across the entire pipeline. EPC Group engagement: Snowflake-to-Fabric Migration Assessment ($95,000 fixed-fee, 6 weeks) — full workload inventory, F-SKU capacity model, board-ready ROI deck; Migration Implementation ($250,000-$850,000 fixed-fee depending on workload count and complexity, 12-26 weeks). 70+ Fortune 500 organizations served and 1,500+ Power BI deployments give EPC Group unique experience consolidating Microsoft analytics stacks. To engage: contact@epcgroup.net or (888) 381-9725. Detail at /microsoft-fabric-consulting-services and /managed-analytics-services.
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