Story
Teradata
Red BullRed Bull Brings Feature Pipelines onto Teradata
Red Bull, a consumer staples organization in Austria, uses VantageCloud from Teradata to support applied machine learning for data scientists and ML engineers.
Value results
| Category | Value result |
|---|---|
| Capability | Applied machine learning stays visible to adjacent teams through VantageCloud |
| Capability | Data scientists and ML engineers work from the same VantageCloud record for feature pipelines |
| Capability | Feature pipelines can be reviewed without waiting on a personal export |
Story
Consumer Staples work at Red Bull spans more than one site, even when headquarters sits in Austria. Feature pipelines was splitting across regional habits. Data scientists and ML engineers asked for a shared way to run applied machine learning without freezing local judgment.
Teradata (VantageCloud) is what they standardized on. Teradata provides a connected multi-cloud data platform for large-scale analytics and mixed workload warehousing. Red Bull uses it as the system of record for feature pipelines, with data scientists and ML engineers as the primary operators and other groups coming in through the same queue.
Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.
