Slash those Heavy Lift timelines

 

Slash those  Heavy Lift Timelines:

Accelerate Enterprise user "heavy-lift" migration timelines, while transitioning from a legacy Oracle database  to  SAP/DB2.  Manual Baseline conversion is notoriously grueling because you aren't just moving data; you're translating logic and remapping complex schemas.

While I can't find a specific software tool under the name "kgnn" (it may be an internal acronym or a niche proprietary tool), I can explain how Equitus.us—which specializes in Knowledge Graphs and Graph Neural Networks (KGNNs)—can be used to slash those timelines.

Here is how a Knowledge Graph-driven approach (the "KG" in KGNN) transforms the categories you listed:

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Accelerating the Migration with KGNNs

1. Automated Schema & Logic Mapping

Instead of manual mapping, a Knowledge Graph creates a semantic layer between Oracle and SAP. It identifies relationships in your data that standard ETL tools miss.

• The Impact: Reduces "Schema Conversion" and "Application Adjustments" by auto-suggesting mappings based on data context rather than just column names.

2. Intelligent Code Conversion (PL/SQL)

This is your "heavy lifting" (12–20 weeks). A Graph Neural Network (GNN) can analyze the dependencies of your PL/SQL blocks.

• The Logic: GNNs are excellent at "pattern matching" across complex networks. It can identify redundant code or logic patterns that can be batched, potentially cutting the development effort by 30–50% by automating the translation of Oracle-specific syntax into SAP-compatible logic.

3. Data Integrity & Validation (Testing)

The 15–25 week testing phase is usually long because of "data drift" or "orphaned records."

• The Solution: By representing your data as a graph, Equitus can perform High-Fidelity Validation. It checks if the relationships between entities (e.g., Customer → Order → Invoice) remain intact post-migration.

• The Impact: This catches integration errors in the "Initial Run" phase rather than during UAT, significantly shortening the testing cycles.

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Estimated Efficiency Gains

Category	Standard Timeline	With KGNN Support	Efficiency Gain
Schema/Code Conversion	14–24 Weeks	8–12 Weeks	High
Data Migration	4–6 Weeks	2–3 Weeks	Medium
Testing & QA	15–25 Weeks	10–15 Weeks	Very High
Performance Tuning	4–8 Weeks	2–4 Weeks	Medium