Story
Databricks
Baker HughesBaker Hughes Runs Partner Exchange with Databricks
Baker Hughes, an energy organization in the United States, uses Databricks SQL from Databricks to support partner data exchange for data platform and lines of business.
Baker Hughes runs partner data exchange on Databricks so ownership is obvious when work stalls.
“Databricks provides a lakehouse platform for data engineering, analytics, and AI, with Unity Catalog and Mosaic AI for governed models.”
“The company treats it as production tooling for partner data exchange, which is why data platform and lines of business live in it rather than exporting from it once a quarter.”
Independent write-up. Figures come from public sources or are illustrative.
Value results
| Category | Value result |
|---|---|
| Productivity | Fewer stalled items because secure data sharing has a clear owner |
| Productivity | Handoffs in partner data exchange sit in a shared queue instead of a mailbox trail |
| Risk and compliance | Databricks SQL is the governed place data platform and lines of business use for partner data exchange |
Story
Baker Hughes did not need another dashboard that nobody opened. It needed partner data exchange to move. In the United States, data platform and lines of business already knew where secure data sharing went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.
Databricks SQL from Databricks is now in that path. Databricks provides a lakehouse platform for data engineering, analytics, and AI, with Unity Catalog and Mosaic AI for governed models. The company treats it as production tooling for partner data exchange, which is why data platform and lines of business live in it rather than exporting from it once a quarter.
Baker Hughes can show how secure data sharing is handled today. That is the value: a repeatable way to run partner data exchange on software the rest of the industry already recognizes.
