One estate, one standard - Why analytics platforms can't be the governance exception

One standard for database change, across the whole data estate.

Enterprise data estates now span relational databases, lakehouses, data lakes and analytics platforms, and the analytics side carries much of what the business depends on: reporting, forecasting and, increasingly, AI. Yet the governance applied to schema change usually stops at the analytics boundary. Tables, views and stored procedures are still edited by hand, versioned by filename and left to drift, and because those changes rarely fail loudly, the first person to notice is often whoever's reading the dashboard. AI raises the stakes from both directions: it depends on the data, and it now generates schema change faster than any team did on its own.

This whitepaper makes the case for a single, platform-agnostic standard for database change across the entire estate, and shows how Redgate Flyway Enterprise puts that standard into practice.

What you'll learn:

• How AI has changed where data is sourced, where it flows and who (or what) touches it, and why schema change is the layer left ungoverned
• Why lakehouses and analytics platforms are now core infrastructure that warrants the same controls as your relational databases
• How the governance gap formed, what it costs, and why AI compresses the timeline for closing it
• Why one estate-wide standard beats governing each platform its own way, and three questions to test whether your organization has a standard or just a set of practices
• A five-stage lifecycle for governed database change on any platform, and the estate-wide visibility that comes from producing one record of change instead of several

Still have questions? Contact us and we will be happy to help