Key Benefit of The "Clean Core" Migration:By using this stack, you avoid the "Garbage In, Garbage Out" problem common in Oracle-to-SAP migrations.In the AIMLUX.ai PowerGraph architecture, Graphixa.ai acts as the hands, while Fusion (KGNN) and Powergraph act as the brain.
Fusion cleans the "Garbage" at the source.
Powergraph ensures the "Core" stays clean.
Graphixa.ai ensures the move is "Governed."
Migration from the High Cost Oracle environment to a modern Mid Cost SAP/IBM RISE stack—is significantly de-risked when you combine the operational precision of Graphixa.ai with the deep intelligence of Equitus.ai Fusion (KGNN) and Aimlux.ai Powergraph.
The Unified Migration Architecture\
|
Component |
Strategic Role |
Specific Function in Oracle → SAP/IBM Rise |
|
Equitus
Fusion (KGNN) |
Discovery
& Correlation |
The
"Discovery Engine." It maps the hidden relationships in your Oracle
database, identifying how "buried" tables relate to high-level
business concepts. |
|
Aimlux Powergraph |
Knowledge Synthesis |
The "Master Blueprint." It
provides the pre-built industry ontologies for SAP/IBM RISE, acting as the
target "perfect state" for the data. |
|
Graphixa.ai |
Operational
Orchestration |
The
"Execution Engine." It takes the intelligence from Fusion and the
blueprint from Powergraph to perform the actual, rule-based data movement. |
Step-by-Step Execution Workflow
1. Discovery (Fusion KGNN)
Before migrating, you must understand your technical debt. Equitus Fusion connects to the legacy Oracle environment.
It uses Natural Language Processing (NLP) and Machine Learning to "crawl" the Oracle schemas.
It identifies that
TBL_99_XYZactually contains criticalCustomer Billingdata, which might have been missed by standard metadata tools.
2. Target Alignment (Powergraph)
Aimlux Powergraph hosts the "Clean Core" ontology required for SAP S/4HANA on IBM RISE.
It defines exactly how SAP expects data to be structured (e.g., the complex "Business Partner" model in SAP vs. simple "Customers" in Oracle).
It provides the semantic destination that Graphixa will target.
3. Semantic Orchestration (Graphixa.ai)
This is where the actual migration happens. Graphixa.ai pulls the "Discovery" results from Fusion and the "Target Blueprint" from Powergraph.
Matching: Graphixa reasons that the Oracle data discovered by Fusion belongs in the SAP tables defined by Powergraph.
Controlled Movement: It generates the SQL Upserts and bulk loads to move the data into the IBM Power10/RISE environment.
Governance: It attaches Lineage to every record, so you can prove to SAP auditors exactly where an Oracle field ended up in the SAP Business Partner record.
4. The "Intelligent" Feedback Loop
If data fails during the move (e.g., an Oracle date format is incompatible with SAP), Graphixa.ai doesn't just error out.
It feeds the error back to the Fusion KGNN.
The KGNN analyzes the error and suggests a rule correction (e.g., "The Oracle format is DD-MON-YY; apply the ISO transformation rule").
A Human Expert approves the suggestion, and Graphixa re-runs the batch.
Key Benefit: The "Clean Core" Migration
By using this stack, you avoid the "Garbage In, Garbage Out" problem common in Oracle-to-SAP migrations.
Fusion cleans the "Garbage" at the source.
Powergraph ensures the "Core" stays clean.
Graphixa.ai ensures the move is "Governed."
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