DataOps · 04 of 6
Quality & governance
Quality gates on every change and every run; catalog, lineage and access; targets agreed up front.
01
How data is tested on its way to production
Two paths: every change is tested before it ships, and every run before the business sees it.
Data Quality Gates
Point at a component to light its links; select it for what it does here and the practice that makes it right.
02
Governance built into the platform
Part of the platform from day one, not a project that starts after go-live.
03
Who owns what
A typical split, agreed per engagement, removes the overlap between DevOps and data teams.
| Activity | Data engineering | DataOps (platform) | Security |
|---|---|---|---|
| Data products and transformations | Owns | Templates and CI/CD | Reviews sensitive data use |
| Platform, environments and IaC | Uses | Owns | Sets baseline controls |
| Access policies | Requests | Implements as code | Approves policy |
| Quality rules | Defines | Runs them in every pipeline | — |
| Monitoring and incidents | Fixes data logic | Alerting, runbooks, on-call | Security incidents |
04
Targets we agree at the start
Sample targets from NGT's DataOps catalogue, set per engagement and measured from day one. Targets, not results.
| Measure | Sample target (NGT) | Why it matters |
|---|---|---|
| Platform infrastructure managed as code | > 95% | Rebuildable, auditable environments |
| Data deployments automated | > 90% | Changes ship through tested pipelines |
| Time to provision a platform environment | < 30 min | Teams start without tickets |
| Pipeline success rate | > 95% | Fresh data for reports and models |
| Platform availability | 99.9% | A platform the business can rely on |
| Mean time to restore | < 30 min to 1 h | Incidents contained quickly |
| Manual access requests | −80% | Access follows policy, not tickets |
| Data projects on the standard platform | > 90% | One way of working across teams |
SourcesNGT DataOps service offering drafts (Sep–Oct 2026)NGT DataOps & Data Platform Ops service catalogue (Sep 2026)NGT DataOps one-page offering and operating model (Sep 2026)NGT AI-First DevOps Transformation service offering (Oct 2026)NGT Google Cloud service offering v0.1