Dedicated SQL pools
Schema, warehouse design, performance assumptions, data movement, and Fabric Data Warehouse fit.
Microsoft Partner
Microsoft Fabric consulting for teams moving Azure Synapse workloads into Fabric, with practical attention to migration readiness, capacity and CU risk, OneLake architecture, governance, audit visibility, and cutover planning.
Synapse migration · OneLake · Power BI · Capacity · Governance · Audit
At a glance
Scope is confirmed on the strategy call, but the working boundaries stay visible from the start.
Migration scope
Schema, warehouse design, performance assumptions, data movement, and Fabric Data Warehouse fit.
Libraries, environments, job definitions, access patterns, and refactoring effort.
Synapse and ADF dependencies, copy patterns, schedules, recovery, and handoff.
Lakehouses, warehouses, shortcuts, semantic models, and reporting paths.
Concurrency, refresh windows, throttling, reservations, scaling, and Capacity Metrics.
Ownership, access, audit evidence, validation, rollback, and stakeholder communication.
Review path
Decide whether the next move is a pilot, staged migration, refactor, governance cleanup, cost monitoring, or selectively scoped support.
Workloads, pipelines, reports, ownership, pain, cost, and audit expectations.
Separate clean moves from refactoring, redesign, and staged cutover.
Capacity, CU risk, audit visibility, access, and evidence gaps.
Pilot, migration, validation, cutover, communication, and handoff.
Based on workloads, pipelines, reports, interviews, capacity analysis, audit evidence review, and roadmap depth.
Relevant evidence
Review the anonymized case study covering shared-schema exposure, destructive overwrite patterns, Capacity Unit risk, and Direct Lake readiness.