Data pipelineHigh complexity
Event Streaming (Currents)
Streams Braze engagement and conversion events out to your warehouse in near real time via Braze Currents, so campaign performance lands next to your first-party data.
Every Braze event in your warehouse, ready to join to spend and behaviour for reporting and model training.
Who it's for
Clients who want Braze activity flowing back into the warehouse to close the loop, feed the models and report on true performance. The outbound half of the Braze data pipe.
The engagement
What you get
- Braze Currents configured to your warehouse or lake (Snowflake, BigQuery, Fabric, S3 / ADLS)
- Landing schema and transformations for message, engagement and conversion events
- Backfill of history plus ongoing near-real-time streaming
- Monitoring on delivery and volume
What Fuse does
- Select the Currents event set and the destination
- Design the landing schema and de-duplication / late-arrival handling
- Stand up the stream, backfill history and validate against the Braze dashboards
- Add monitoring and a runbook
What we need from you
Data & access
- Braze Currents on the plan
- A warehouse or lake destination
- Storage / network access
Your responsibilities
- Provide the destination warehouse / lake and storage access
- Confirm which events and PII fields are in scope with data governance
- Enable Currents on the Braze plan
Outcomes and proof
- Braze events queryable in the warehouse minutes after they happen
- The raw material for closed-loop learning and honest reporting
- Model training features refreshed on real outcomes
Assumptions
- Currents is available on the Braze plan
- A destination exists to receive the stream
Out of scope
- Downstream modelling or dashboards, which are separate services
- Warehouse or lake provisioning