Story
Databricks
ETASETAS Brings Data Sharing onto Databricks
ETAS, an information technology organization in Germany, uses Mosaic AI from Databricks to support partner data exchange for data platform and lines of business.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because secure data sharing has a clear owner |
| Risk and compliance | Mosaic AI is the governed place data platform and lines of business use for partner data exchange |
| Capability | New joiners can see how partner data exchange actually runs |
Story
Inside ETAS, partner data exchange used to depend on whoever still had the latest file. That pattern is common in information technology groups working out of Germany. Data platform and lines of business needed a system that would still make sense after the original project team moved on.
ETAS uses Mosaic AI from Databricks as the working layer for secure data sharing. Databricks provides a lakehouse platform for data engineering, analytics, and AI, with Unity Catalog and Mosaic AI for governed models. The practical change is simple: partner data exchange has a home, and reviews happen there instead of in a forwarded thread.
Nothing in this writeup invents a savings number. What ETAS gets from Databricks is a durable place to run partner data exchange and a way for data platform and lines of business to see the same secure data sharing at the same time.
