Microsoft Fabric consulting for energy and utilities organizations. Senior-led, fixed-price engagements with industry-specific use cases.
Yes for organizations already on Power BI Premium and Azure. The OneLake unification works well for energy data sources, especially when combined with the Eventstream + KQL real-time stack for grid or production telemetry.
Fabric Eventstream ingests high-frequency telemetry into KQL Database for near-real-time analytics. For longer-term sensor history, OneLake with Delta tables handles multi-billion-row workloads with appropriate partitioning.
Most utilities land at F64 to F256 ($8,400 to $33,600 per month reserved) for production analytics workloads. The capacity-sizing exercise is part of every assessment.
Microsoft has signaled the long-term direction is Fabric, and Power BI Premium per Capacity (P-skus) is being deprecated through 2026 in favor of F-skus. For organizations on Synapse and Power BI Premium, the migration is mostly a when-not-if question. See [Microsoft Fabric consulting](/insights/microsoft-fabric-consulting-2026).
Fabric wins for Microsoft-stack-aligned organizations where Power BI is the analytical surface. Snowflake and Databricks win for organizations with cross-vendor tooling or specific platform-native AI requirements. See [Snowflake vs Databricks AI workloads](/insights/snowflake-vs-databricks-ai-workloads-2026).
, and the data and AI work we ship is designed to hold up under their review.