Resources
Documentation & learning paths
Great docs shorten time-to-first-success. We structure content for practitioners—data engineers, analysts, and ML engineers—with copy‑paste examples, troubleshooting, and clear version notes (documentation best practice: task-based navigation and runnable samples).
What you will find
This hub is a living resource; bookmark it for updates each release.
Getting started
Bootstrap projects, connect your first source, and publish a dataset.
APIs & SDKs
REST and client libraries with authentication patterns and rate limits.
Architecture guides
Reference designs for batch/streaming, governance, and ML deployment.
Security
Hardening checklists, encryption options, and audit event catalogs.
Prefer guided help?
Join community office hours or enterprise onboarding workshops listed on the Events page.