Story
Confluent
AzulAzul Brings Feature Pipelines onto Confluent
Azul, an industrials organization in Brazil, uses Flink on Confluent from Confluent 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 Flink on Confluent |
| Capability | Data scientists and ML engineers work from the same Flink on Confluent record for feature pipelines |
| Capability | Feature pipelines can be reviewed without waiting on a personal export |
Story
Industrials work at Azul spans more than one site, even when headquarters sits in Brazil. 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.
Confluent (Flink on Confluent) is what they standardized on. Confluent is the data streaming platform built around Apache Kafka, used to move events between applications in real time. Azul 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 The story is about operating change, not an unpublished percentage.
