How Emulus Consulting Migrated Oracle to Microsoft Fabric with 72-88% Automated Accuracy
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Emulus Consulting LLP used Pulse Convert to migrate Oracle database objects to Microsoft Fabric, across engagements of 200 to 45,000 objects. Between 72% and 88% of the schemas, PL/SQL code and views were converted automatically into Fabric-native T-SQL, Spark and OneLake Delta tables, and every object was validated against its Oracle source.
Case study at a glance
| Item | Detail |
|---|---|
| Client | Emulus Consulting LLP, a data analytics, research, software services and Generative AI consultancy |
| Migration | Oracle to Microsoft Fabric |
| Solution | Pulse Convert by Office Solution AI Labs |
| Objects converted | Oracle DDL schemas, PL/SQL packages, stored procedures, triggers and views |
| Target output | Fabric T-SQL, Spark and OneLake Delta tables |
| Scale | 200 to 45,000 objects |
| Automated accuracy | 72-88% |
| Engineer-led fine-tuning | The remaining 12-28% |
| Validation | Source-to-target and functional comparison on every object |
How we measure accuracy: the percentage of Oracle objects and code converted automatically into working Fabric equivalents that pass source-to-target validation without manual changes.
The challenge: Oracle logic does not run on Fabric
Oracle estates accumulate years of business logic in PL/SQL. That code is tied to Oracle, so moving to Microsoft Fabric means converting it, not just copying data.
PL/SQL does not transfer
Packages, procedures, triggers and cursor-based loops must be re-expressed as Fabric T-SQL or Spark logic.
Schemas and data types differ
Oracle types such as NUMBER and VARCHAR2 need careful mapping to avoid truncation or precision errors.
Scale makes manual conversion impractical
Hand-rewriting and testing thousands of objects is slow, costly and risky.
Licensing and modernization pressure
Moving to Fabric reduces dependence on Oracle licenses and opens the estate to a modern lakehouse platform.
Our approach: automate the repeatable, expert-review the rest
Automated discovery and assessment
Pulse Convert inventories the Oracle estate and analyses dependencies, complexity and readiness, so migration order is based on evidence.
AI-assisted conversion
The accelerator translates Oracle DDL schemas, PL/SQL packages, stored procedures, triggers and views into native Fabric T-SQL, Spark and OneLake Delta tables.
Migration validation
Each converted object is compared against its Oracle source and checked functionally, so differences are caught before go-live.
Expert fine-tuning and phased delivery
Our engineers resolve the remaining 12-28%: complex or heavily customised logic that needs human judgement. Delivery runs as a proof of concept followed by phased migration.
Results
72-88% converted automatically
Most schemas, PL/SQL logic and views moved to Fabric without manual rewriting.
200 to 45,000 objects supported
The same approach worked from compact databases to very large estates.
Far less manual effort
Engineers focus on the hardest 12-28% instead of rewriting everything.
Verified, not assumed
Every object was validated against its source, so teams can trust the logic running on Fabric.
Why this approach works for Oracle to Fabric
It converts logic, not just data. PL/SQL, triggers and views move to Fabric-native code, so business rules keep working after migration.
It is honest about automation. No tool converts every line of custom PL/SQL perfectly. Pulse Convert automates what is repeatable and routes the rest to experienced engineers, so accuracy is checked rather than claimed.
It scales. Discovery, conversion and validation are automated, so effort grows far more slowly than object count. Teams looking to modernize enterprise analytics alongside backend databases can also explore our Emulus Tableau to Power BI migration case study and Tableau to Power BI accelerator, or discover our published case studies on SAP ABAP to Apache Spark, Snowflake to Fabric migration, and MS Access to Microsoft Fabric.
Frequently asked questions
Frequently Asked Questions
See what Pulse Convert does with your Oracle code
Start with a free proof of concept. We convert a sample of your Oracle estate, validate it against the source, and show you the accuracy before you commit to anything.
