Princeton IT ServicesMove your data platform to Microsoft Fabric, one tested wave at a time.
Microsoft Fabric brings data engineering, warehousing and Power BI reporting into one service. We move your pipelines, warehouses and reports to it in planned waves, check every number against the old system before anything is switched off, and leave the lakehouse governed so reports and Copilot read the same trusted data.
What we migrate
From the tools you run today to one Fabric workspace
Most data estates grew one tool at a time: pipelines in Azure Data Factory, a warehouse in Azure Synapse Analytics or SQL Server, files in a data lake, and Power BI reports that each load their own copy. Fabric keeps all of it in OneLake, one store that the lakehouse, the warehouse and Power BI read directly.
We start with an inventory of what feeds your reports, then move each piece to its Fabric equivalent or leave it where it is when moving would add nothing.
What we do
- Azure Data Factory pipelines rebuilt as Fabric pipelines and dataflows
- Azure Synapse Analytics and SQL Server warehouses moved to a Fabric warehouse or lakehouse
- Data already in Azure Data Lake Storage or Amazon S3 reached through OneLake shortcuts
- Power BI semantic models and reports repointed to governed Fabric data
Approach
Assess, design, move in waves, then switch off
A Fabric readiness assessment comes first: the pipelines, warehouses, refresh schedules and reports you have, who uses each one, and what Fabric capacity the workload needs. The design follows: workspaces, where the lakehouse fits and where a warehouse does, and the permissions and sensitivity labels that go with the data.
Then we move one subject area at a time. For each wave the old and new pipelines run side by side until row counts and totals match, the reports are switched over, and only then is the old pipeline retired. Every load in Fabric alerts someone when it fails, from the first wave on.
What we do
- Fabric readiness assessment and capacity sizing
- Lakehouse and warehouse design
- Parallel runs that reconcile old and new numbers
- Failed-load alerts and a runbook for your team
Risks
What usually goes wrong, and how we prevent it
Numbers that drift: a report that shows a different total after the move loses trust in the whole platform, so nothing is switched until the parallel run agrees. Silent failures: a nightly load that stops without telling anyone is worse than a slow one, so alerts are part of every pipeline. Capacity costs: Fabric is billed by capacity, so we size it from the real workload and review usage after the first waves. Access sprawl: workspaces copied without a plan share more than they should, so roles and Purview sensitivity labels are set in the design, before the data arrives.
What you get
A platform your analysts and your AI can both rely on
At the end you have one Fabric estate in place of several tools, the reports your people already use running on governed data, and a team that knows how to run it. The same data is what Copilot and our analytics agents read, so a well-built lakehouse also makes their answers more accurate.
What we do
- An inventory and a wave plan, in writing
- Migrated pipelines, warehouse or lakehouse, and reports
- Reconciliation results for every wave
- Monitoring, alerts and a runbook handed to your team
Questions
Common questions
Do we have to move everything to Fabric at once?
No. We move one subject area at a time, and the old pipelines keep running until the new ones match them. Some pieces may stay where they are: data already in a lake can be read through a OneLake shortcut instead of being copied.
What happens to our Power BI reports?
They move with the data. Each report is repointed to a semantic model on the Fabric lakehouse or warehouse and checked against the old numbers before your users see the switch.
We use Azure Synapse Analytics today. Is the move worth it?
The readiness assessment answers that for your workload. It lists what would move, what Fabric capacity it needs and what it would replace, so you can compare before deciding.
Who looks after the platform after the migration?
Your team, with the runbook and alerts we set up, or ours: we run managed data services, and Microsoft Consulting administers Azure as an ongoing service.
Planning a move to Fabric?
Tell us what feeds your reports today. We will map what moves first, what it needs and what can stay as it is.