Answer in Collibra before the question.
Your auditor asks where a regulatory number came from. With the agent, the answer is in Collibra before the question gets to your team. Audit cycle becomes a review.
Your regulatory analysts spend three weeks of every audit cycle tracing data lineage from Pentaho ETL to Collibra by hand. Multiply by every reporting cycle, every model retrain, every regulator inquiry. The agent scans your Pentaho ETL, resolves properties files, queries Collibra for existing metadata, and generates field-level lineage at app, table, and column resolution. Continuously updated.
Per-run log · timestamped, reproducible
60 seconds. It scans a folder of Pentaho .kjb / .ktr files. Properties placeholders resolved. Collibra queried for existing metadata. Field-level lineage CSV generated. Uploaded to Collibra. Visual lineage auto-generates at app, table, and column level. Three weeks of analyst work, completed in minutes.
Try it nowIt parses your Pentaho .kjb / .ktr files. Properties file placeholders resolved against your environment configuration. Existing metadata queried from Collibra.
Structured lineage mappings synthesized at app, table, and column resolution. CSV output formatted for direct Collibra upload.
CSV uploaded to Collibra. Visual lineage auto-generates. Continuously updated as your ETL changes.
.kjb and .ktr files parsed natively, including the transformation steps inside each job.
Environment placeholders resolved automatically. No analyst rework.
Pattern works with Informatica, Talend, Alteryx and other catalogs on a per-deployment basis.
App, table, column resolution. Granularity your regulators expect.
Direct upload format. No middleware required.
New Pentaho jobs trigger lineage updates automatically. Audit-readiness stops being quarterly.
Lineage structured at the granularity audit and compliance reviews expect.
Operates on ETL source files only. Safe for regulated environments.
| Dimension | Regulatory analyst tracing by hand | Collibra native cataloging | Lineage Documentation |
|---|---|---|---|
| Time per cycle | 2–4 weeks of analyst time. | Manual entry per asset. | Minutes per run. Continuously updated. |
| Field-level resolution | Yes, where the analyst gets to. | Manual, where someone catalogs. | App, table, column. |
| Pentaho ETL parsing | Manual. | Not native. | Native. |
| Properties resolution | Manual. Source of error. | Not handled. | Automatic. |
| Regulator-granularity lineage | Depends on analyst diligence. | Depends on cataloging discipline. | Complete by design. |
| Audit-cycle effort | Quarterly fire drill. | Quarterly cataloging review. | Continuous. Audit cycle becomes a review, not a build. |
Your auditor asks where a regulatory number came from. With the agent, the answer is in Collibra before the question gets to your team. Audit cycle becomes a review.
Regulatory reporting requires field-level lineage. The agent produces it at the granularity regulators expect, continuously updated.
Your Pentaho codebase has hundreds of jobs and limited documentation. The agent produces structured lineage as a side effect of running.
When your AI governance committee asks where the model's training data came from, the agent produces the answer back to source ETL.
It operates on ETL source files only, not production data. Lineage stays where you specify. Output is structured for direct regulator review. Every run is logged. Your CISO and your compliance team read the same posture.
The audit cycle that consumes three weeks of analyst time. The Pentaho ETL nobody wants to read. The Collibra catalog that's perpetually behind. It closes the loop. Continuously updated, ready for the regulator's next inquiry.
30 minutes. Bring a Pentaho job from your environment. We'll walk through the lineage the agent produces.