Scenarios¶
Part of Streaming Transformations. See all pages in this section.
Each scenario starts from a typical ingestion problem and shows which transformations to combine to solve it.
| Scenario | Stream filtering | Stream enrichment | Custom scalar logic | Lateral Flatten | Insert-triggered materialized views |
|---|---|---|---|---|---|
| Scenario A: AI agent observability | Stream columns | Model provider and pricing | — | Stream array | — |
| Scenario B: Observability logs and OpenTelemetry | Stream columns | Service ownership | — | Stream array | Multiple views per target table, one with aggregates |
| Scenario C: Industrial IoT telemetry | Dimension columns | Tag mapping | — | Stream array before the join | — |
| Scenario D: Security events | Stream and dimension columns | Asset inventory and threat intelligence | SQL UDF | Dimension array after the join | Aggregates |
| Scenario E: Product and clickstream events | Stream and dimension columns | Account context | JavaScript UDF | — | Aggregates |
| Scenario F: Privacy-safe ingestion | Stream columns | Audience segments | SQL UDF | — | — |
See also¶
See Stream filtering, Stream enrichment, Custom scalar logic, Lateral Flatten, and Insert-triggered materialized views for more information on the transformations used in the scenarios.
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