Dive into Snowplow’s event modeling to understand atomic tracking, schema design, and enrichment for reliable analytics pipelines.
Snowplow’s core data model is:
Sessions only
Clicks only
Atomic events
Pageviews only
Snowplow tracks each action as an event.
Schemas in Snowplow are defined in:
Relational DB
CSV files
Local JSON only
Iglu registry
Iglu holds event schemas.
Enrichment occurs in which pipeline component?
Enrich
Collector
Analytics runner
Storage loader
The Enrich stage adds context.
Snowplow uses which JSON schema version?
Schema 4.0
Schema 1.0
Schema 3.0
Schema 2.0
Snowplow uses Iglu Schema 1.0.
Which resolver hosts schemas for enrichment?
Collector
Iglu server
Tracker
Vega server
Iglu serves schemas.
Snowplow trackers send events via:
HTTP
WebSocket
FTP
SMTP
Trackers post over HTTP.
Atomic events contain:
Event context and unstructured data
Only timestamps
Only URLs
Only user IDs
Events include context blobs.
The enrich step outputs to:
Raw and enriched streams
Only raw
Only enriched
Deleted data
Both streams are emitted.
Streaming pipelines use:
RabbitMQ only
None
Kinesis or Kafka
SQS only
Snowplow supports Kinesis/Kafka.
A key benefit of atomic modeling is:
Speed only
Flexibility
Lower cost only
None
Atomic events allow flexible analysis.
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