DataOps, Orchestration & Metadata
Part 5: Running It Like a Platform
Part 4 ended with transformation logic finally living as version-controlled, tested code; Part 5, “Running It Like a Platform,” starts here because code that’s correct once isn’t the same thing as a platform that stays correct — that takes a way to deploy changes safely and a way to know what’s out there and what depends on what. This group’s two topics cover exactly those two halves: first the operating discipline that gets a change from a laptop into production without an outage — CI/CD, infrastructure as code, environment promotion, orchestration — and then the metadata, lineage, and catalog layer that lets anyone on the team answer “what will this break?” before they ship, instead of finding out after. Together they turn a working pipeline into something the rest of the organization can actually depend on and safely evolve.
mindmap
root((DataOps, Orchestration & Metadata))
("DataOps & Platform Engineering")
("CI/CD")
("IaC & GitOps")
("Blue/green vs canary")
("DAG orchestration")
("Metadata, Lineage & the Data Catalog")
("Lineage: impact analysis")
("Catalog: discovery & governance")
Topics
| # | Topic |
|---|---|
| 1 | DataOps & Platform Engineering: CI/CD, IaC/GitOps & Orchestration Patterns |
| 2 | Metadata, Lineage & the Data Catalog |
| ← Previous: The dbt Paradigm: Transformation as Code, Data Contracts & Idempotent Reprocessing | Next: DataOps & Platform Engineering: CI/CD, IaC/GitOps & Orchestration Patterns → | |:—|—:|