Dedicated SQL pools
Schema, warehouse design, performance assumptions, data movement, and Fabric Data Warehouse fit.
Microsoft AI Cloud Partner
Microsoft Fabric consulting for teams moving Azure Synapse workloads into Fabric—with a practical focus on migration readiness, capacity and CU risk, OneLake architecture, governance, audit visibility, and cutover planning.
Synapse migration · OneLake · Power BI · Capacity · Governance · Audit
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, Purview 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 selective implementation.
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.