Data pipelines built for Microsoft Fabric
We build, run, and migrate Azure Synapse Analytics and Azure Data Factory workloads onto Microsoft Fabric on your timeline, without breaking what already runs.
Talk to an Expert →Synapse and Data Factory are headed to Fabric
Microsoft has folded its data integration roadmap into Fabric. Fabric Data Factory combines Azure Data Factory's pipeline engine with Power Query, adds Copilot for pipeline authoring, and stores everything in OneLake alongside your warehouse and Spark workloads. Azure Synapse Analytics and standalone Azure Data Factory still run, still get security patches, and are fully supported. Microsoft's own investment and product updates now go to Fabric first.
That doesn't require moving everything at once. Microsoft ships assessment tools that scan your existing Synapse pipelines, flag what migrates cleanly, and flag what needs rework before you move it. Your Azure Data Lake Storage Gen2 (ADLS Gen2) data becomes available in Fabric through OneLake shortcuts without copying it. We use those same tools, plus our own testing, to plan a migration that fits your risk tolerance instead of a hard cutover date.
How CloudServus gets you there
New builds on Fabric
- Pipelines and dataflows built directly in Fabric Data Factory, with Copilot-assisted authoring where it saves real time
- OneLake architecture designed around your sources, so warehouse, Spark, and BI workloads share one copy of data
- Security and governance set up from day one, including Private Link and workspace-level access controls
Migrate off Synapse or Data Factory
- Pipeline assessment against Microsoft's own readiness criteria before anything moves
- Phased migration, starting with pipelines that are ready and working through the rest
- Validation in a non-production workspace before we touch anything live
Support what's running today
- Patching and monitoring for Synapse or Azure Data Factory pipelines you're not moving yet
- Cost and performance tuning on your current setup while you decide on timing
- A migration plan on paper, ready whenever you are
Data movement that doesn't stall your team
Fabric Data Factory runs on the same pipeline engine as Azure Data Factory, so the skills and pipeline logic your team already has carry over. It adds email and Teams activities for pipeline notifications, tighter integration with OneLake, and Copilot support for writing pipeline expressions and debugging failures.
If you're staying on standalone Azure Data Factory or Synapse pipelines for now, that's a reasonable place to be. Both are supported services with a wide connector library for on-premises and SaaS sources. We build ETL and ELT pipelines there the same way we would in Fabric: tested, documented, and monitored, so nothing breaks quietly.
Our approach
We start with an assessment: your current architecture, what's actually running in Synapse or Azure Data Factory today, and where Fabric changes the calculus on cost or complexity. That assessment becomes a concrete plan: which pipelines move first, which stay put, and what the Fabric workspace looks like when it's done.
From there we build or migrate, testing each pipeline before it goes live and checking outputs against what you're running today so the numbers match. Once you're live, we train your team on what changed and keep tuning performance and cost as your data volume grows.
Ready to plan your Fabric move?
Whether you're building new on Fabric, migrating off Synapse or Data Factory, or need someone to keep the lights on while you decide, we'll start with an honest assessment of where you stand.
Talk to an Expert →