MIGRATE TO MICROSOFT FABRIC
Move to Microsoft Fabric from the platform you’re on today.
Datachecks combines specialized AI agents with migration experts to move SQL Server and Oracle estates into Fabric — automating assessment, OneLake target design, SQL translation, validation, and reconciliation.
Supported objects and automation depth vary by source, target, and migration scope.
THE TARGET SIDE
Landing on Fabric is its own set of decisions.
These apply whichever platform you are migrating from. They are decided once, for the target architecture, rather than per source object.
TARGET ITEM
Warehouse or Lakehouse
Fabric offers both, and the choice per object changes how it is written, queried and governed. There is no equivalent decision in the source, so it cannot be inherited.
STORAGE
OneLake and Delta underneath
Everything lands as Delta in OneLake regardless of the item type. File layout and table maintenance become real concerns for teams used to a managed relational store.
COMPUTE
Capacity, not servers
Fabric bills against shared capacity units. Workloads that coexisted on one instance can contend for the same capacity, so sizing is a portfolio decision.
SQL SURFACE
Familiar T-SQL, different implementation
The Warehouse speaks T-SQL, which makes migration look trivial. The implemented surface differs from SQL Server, and gaps only appear once procedures run.
REPORTING
Direct Lake changes the cutover
Power BI can read Delta directly rather than importing. That removes a refresh step but ties reporting correctness to table layout.
GOVERNANCE
Workspaces and domains
Access and lineage follow the workspace and domain structure. Getting that shape right early is far easier than restructuring once workloads depend on it.
SOURCE PLATFORMS
Where are you migrating from?
THE MIGRATION LIFECYCLE
One controlled workflow across every migration.
UNDERSTAND → MAP → TRANSLATE → VALIDATE
Understand
Inventory the estate, profile data, identify dependencies, and assess complexity.
10,428 objects
Map
Generate source-to-target mappings, transformations, confidence, and exceptions.
97% mapping confidence
Translate
Convert SQL, procedures, and transformation logic for the target platform.
PL/SQL → target SQL
Validate
Test migrated outputs, reconcile source and target, and surface exceptions before cutover.
source = target ✓
PLANNING A FABRIC MIGRATION?
Tell us what you’re moving off.
Share your source platform, estate size, target Fabric architecture, and migration goals. We’ll help assess complexity, define scope, and identify where automation removes manual delivery work.