1. Assess
See the real migration surface
SQL Tran parses the source, maps dependencies, measures translation coverage, and separates automatic work from objects that need review.
Oracle to Fabric Lakehouse
Split an Oracle workload into Spark SQL for relational objects and Python/PySpark for procedural code in Fabric Lakehouse.
Preview Listed in the current SQL Tran project wizard
This migration path is available as a preview. Translation coverage and target deployment
features are still evolving, so start with an assessment of your own source, target, and
version before planning the project.
2. Relational
Translate schema and SQL
Oracle tables and views are emitted as Spark SQL for the Fabric Lakehouse relational plane.
3. Procedural
Move the code with intent
Procedures, functions, triggers, packages, and types are emitted as Python/PySpark code for the execution plane.
What this scenario exposes up front
- Hybrid SQL-and-code target profile
- Spark SQL relational output
- Python/PySpark procedural output
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