Live system · Pipeline Pulse · Enterprise Data Platform

DMBOK as working software, not slideware.

Pipeline Pulse turns the DAMA-DMBOK operating model into a clickable Enterprise Data Platform — ingestion controls, metadata-driven data quality, lineage and stewardship, an evidence hub, and AI governance, all in one control plane. Open the live app and an animated architecture walkthrough without leaving this page.

DMBOKAligned operating model
6Learning tracks
5DMBOK control screens
5Field templates

Open the platform inside this page.

The full Pipeline Pulse front end — architecture viewer, data-quality control center, governance, evidence hub and AI governance screens — loads in a window over this page. No new tab required.

Living architecture

How scattered data ops become one control plane.

A guided, auto-playing walkthrough — ingestion controls, metadata-driven DQ, lineage and stewardship, the governed platform, AI governance and trusted consumption.

pipeline-pulse · living-architecture ⤢ Fullscreen

Guided walkthrough

Follow one data feed, end to end.

A 10-step, self-guided walkthrough that follows one feed — the nightly claims file — from a raw drop to a trusted, owned, audit-ready foundation, in plain English. Click through it, or open it fullscreen.

pipeline-pulse · step-by-step ⤢ Fullscreen

Why it matters

The operating model behind the outcomes.

Proves

DMBOK becomes practical when knowledge areas are implemented as platform controls — reusable DQ rules, lineage, stewardship queues, audit evidence and AI governance — not separate dashboards. This is that operating model rendered as clickable software.

Why it matters to enterprises

It gives a CDO, steward or auditor one shared, defensible picture: what is onboarded, who owns it, what passed quality, which privacy rules apply, what evidence exists, and how incidents become prevention controls.

Governance controls

Ingestion controls (control files, checksums) Metadata-driven DQ rules Reconciliation & quarantine Lineage & stewardship RBAC / ABAC access Audit evidence hub AI governance & explainability Reliability & SLOs

Control plane

01

Ingest

Control files, checksums, header/footer validation, duplicate rejection.

02

Quality

Metadata-driven rules, thresholds, reconciliation, quarantine.

03

Lineage

Source-to-consumption lineage, ownership, stewardship queues.

04

Govern

RBAC/ABAC, privacy controls, sign-off, evidence hub.

05

AI control

Model risk, explainability, drift, human review gates.

06

Consume

DAMA control tower, trusted analytics, reliability signals.

Walkthrough video

See it move.

DMBOK control screens

Five screens that make the model visible.