Microsoft Fabric Migration - From Legacy Platform to Lakehouse, Done Right
Numlytics migrates your Azure Synapse, SQL Server, Databricks, or legacy data warehouse to Microsoft Fabric - Lakehouse architecture, OneLake pipelines, Fabric semantic models, and Power BI Direct Lake — with zero BI downtime, fixed-scope delivery, and an engineering team that has done this before.
- Migrates from Synapse, SQL Server, Databricks & SSAS
- Zero Power BI downtime - parallel run until cutover
- Fixed scope, fixed timeline - no runaway delivery
- Microsoft Fabric certified engineering team
go-live from kick-off
during migration
delivered globally
migrate from - zero gaps
Not Just a Platform Upgrade a Full Re-Architecture of Your Data Estate
A Microsoft Fabric migration is not a lift-and-shift. It is a deliberate re-architecture of your data platform around OneLake, the medallion Lakehouse pattern, and Fabric's unified compute layer - replacing the patchwork of Azure Synapse, ADLS, ADF, and SSAS tabular that most enterprises have accumulated over years of incremental investment.
Numlytics designs and executes the full migration - from your source platform assessment through to
Our Fabric migration methodology is built around four non-negotiables: no BI downtime, data parity validation before cutover, full CI/CD from Day 1, and a post-migration hypercare period so your team is self-sufficient before we hand over the keys.
Six Migration Workstreams. One Unified Fabric Platform.
Every workstream runs in parallel with your existing platform - nothing goes dark until parity is confirmed.
We design your target Fabric Lakehouse architecture - OneLake zones, medallion layers (Bronze / Silver / Gold), Delta table standards, and workspace topology - before a single pipeline is moved. Architecture first, migration second.
- OneLake zone & medallion layer design
- Delta Lake table standards & partitioning
- Workspace, capacity & domain topology
We migrate your ADF, Synapse Pipelines, or Databricks jobs to Fabric Data Factory and Fabric Notebooks - rewriting orchestration logic, parameterising pipelines, and implementing CI/CD deployment via Azure DevOps from the first sprint.
- ADF & Synapse pipeline conversion
- Fabric Data Factory & Notebook orchestration
- CI/CD pipeline deployment via Azure DevOps
We convert your existing Azure Synapse, SQL Data Warehouse, or SQL Server schemas to a Fabric Lakehouse - re-modelling dimensional structures into Delta tables, migrating stored procedures to dbt or Fabric Notebooks, and validating row counts and aggregates at every layer.
- Schema & DDL conversion to Delta tables
- Stored procedure migration to dbt / Notebooks
- Row count & aggregate parity validation
We migrate your SSAS Tabular or Power BI import models to Fabric semantic models connected via Direct Lake - rebuilding relationships, recertifying DAX measures, and validating report output parity before any BI cutover is made.
- SSAS Tabular & import model conversion
- Direct Lake connection & semantic model rebuild
- DAX measure certification & output parity
We migrate all Power BI reports, dashboards, and workspaces to the Fabric-enabled workspace model - updating data source connections, refreshing RLS configurations, migrating deployment pipelines, and re-publishing apps to the correct audience groups.
- Report reconnection to Fabric semantic models
- RLS & workspace security migration
- Deployment pipeline & app re-publishing
Migration is not done at cutover. We implement Fabric governance —-sensitivity labels, data lineage, access controls, and OneLake security - then run a 4-week hypercare period where our engineers are on-call for your team's questions, issues, and optimisation requests.
- OneLake security & sensitivity label rollout
- Data lineage & Purview integration
- 4-week post-cutover hypercare & support
Four Phases. Zero Downtime. Full Parity Before Cutover.
A structured migration methodology that keeps your current platform live until the new one is proven.
A 5-day read-only assessment of your existing platform - source systems, pipeline inventory, data volumes, semantic model complexity, and report usage -producing a migration blueprint with risk flags, effort estimates, and a phased delivery plan.
⏱ Week 1We build the target Fabric environment - OneLake structure, workspace topology, capacity configuration, DevOps pipelines, and medallion framework - before any data or pipelines are migrated. The foundation is right before anything moves.
⏱ Weeks 2–4Pipelines, data, semantic models, and reports are migrated in prioritised waves while the source platform runs in parallel. Every layer passes automated parity validation - row counts, aggregates, and report output - before the next wave begins.
⏱ Weeks 4–8Cutover is executed in a single coordinated window after full parity is confirmed. Post-cutover, our team runs a 4-week hypercare period - resolving issues, training your team, and optimising Fabric capacity before final handover.
⏱ Weeks 8–12
Six Reasons Enterprises Trust Numlytics With Their Fabric Migration
Migration-specialist engineering, zero BI downtime, and a methodology that has been proven across 50+ enterprise platforms.
We'd been running a fragmented stack - Azure Synapse for warehousing, ADF for pipelines, and a separate Power BI Premium capacity - and the maintenance burden was significant. Numlytics mapped our entire estate, identified which workloads were Direct Lake-ready, and executed the Microsoft Fabric migration in phases over fourteen weeks. By the end, our pipelines ran faster, our semantic models were rebuilt on OneLake, and report load times dropped by over half. The team communicated clearly throughout and there was zero unplanned downtime during cutover. We now operate entirely within Fabric and the unified governance alone has been worth the investment.
Extend your cloud data platform capability with complementary Numlytics services across migration, engineering, and BI delivery.
Common Questions About Microsoft Fabric Migration
Everything you need to know before planning your migration to Microsoft Fabric.
Ask Us Anything →Move Your Data Estate to Microsoft Fabric with Confidence
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