Shift-Left Data Change Management with Gable

When: [Date] at [Time]  Length: 45 minutes + live Q&A

Why this session matters

Most data “incidents” originate in application code such as a field renamed during a refactor, a timestamp format tweaked for readability, an extra element added to an event payload. If those changes ship unnoticed, reporting and models drift and everyone scrambles to find the cause.

Gable plugs data governance into the same CI/CD steps you already use. Code that changes data definitions is caught, reviewed, and communicated long before downstream consumers feel the impact. The result is reliable data without slowing development.

You’ll learn

• What actually changes: the three common code-level edits that derail analytics.
  
• How to surface those edits in pull-request workflows: no new tools for engineers to learn.
  
• Lightweight governance: a “Discover → Govern → Manage → Guard” loop that blocks only what matters.
  
• A real example: how Glassdoor used Gable to replace monthly “what broke?” investigations with predictable, tracked change.
  

Speakers

James Frost | VP Product, Gable
Zakariah Siyaji | Engineering Manager, Glassdoor

They’ll demo a live pull request, show the alerts Gable raises, and answer practical questions on adopting shift-left data change management.

Reserve your seat

All registrants receive the recording, slides, and a checklist for adding data checks to CI/CD.