I would appreciate insights on the following
@tkprasad , Welcome to the Oracle Analytics Community!
I can see there are three approaches how Oracle AIDP integrates with existing DL.
Approach #1: Oracle AIDP → Data Lake
Oracle AIDP is the trusted source, lake consumes it and it prepares the data, the lake uses it.
How it works:
Oracle AIDP cleans and organizes the data first. Then you send that clean data to the lake.
Why this is good:
The lake gets clean, business-ready data.
KPIs stay consistent with OTBI .
Less confusion about “which number is correct”
Approach #2: Data Lake → Oracle AIDP
Lake is primary, Oracle AIDP is enhanced with it. Lake does the heavy lifting, Oracle AIDP adds Fusion intelligence.
The lake prepares non-Fusion data. Then Oracle AIDP connects to that curated lake data for reporting.
No duplicate transformation work
Governance stays centralized
Fusion + non-Fusion data can be reported together
Approach #3: Two-Way Integration
Oracle AIDP and Lake feed each other. It is complex and powerful but risky only for mature organizations.
Risk:
Data loops (data moving back and forth endlessly)
Different KPI calculations in different places
Complex maintenance
you could also utilize OCI Data Flow SQL Endpoints
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