Story
Teradata
TalendTeradata at Talend: Feature Pipelines
Talend, an information technology organization in the United States, uses Teradata AI Unlimited from Teradata to support applied machine learning for data scientists and ML engineers.
A Teradata AI Unlimited rollout at Talend took applied machine learning out of inboxes and into a named queue.
“In the United States, data scientists and ML engineers already knew where feature pipelines went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.”
“Teradata provides a connected multi-cloud data platform for large-scale analytics and mixed workload warehousing.”
Independent write-up. Figures come from public sources or are illustrative.
Value results
| Category | Value result |
|---|---|
| Capability | Named workflow replaces ad hoc routing for feature pipelines |
| Capability | Applied machine learning stays visible to adjacent teams through Teradata AI Unlimited |
| Capability | Data scientists and ML engineers work from the same Teradata AI Unlimited record for feature pipelines |
Story
Talend did not need another dashboard that nobody opened. It needed applied machine learning to move. In the United States, data scientists and ML engineers already knew where feature pipelines went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.
Teradata AI Unlimited from Teradata is now in that path. Teradata provides a connected multi-cloud data platform for large-scale analytics and mixed workload warehousing. The company treats it as production tooling for applied machine learning, which is why data scientists and ML engineers live in it rather than exporting from it once a quarter.
Talend can show how feature pipelines is handled today. That is the value: a repeatable way to run applied machine learning on software the rest of the industry already recognizes.
