GCP Data Analytics Pipeline Diagram

GCP Data Analytics Pipeline

This diagram shows a common Google Cloud streaming analytics path. An application publishes events to Pub/Sub, which buffers and distributes the stream. Dataflow reads that stream and performs transformations before loading the results into BigQuery. Looker queries the warehouse for reporting. The drawing makes the handoff between event ingestion, processing, storage, and analysis visible. It is a useful starting point for product analytics, operational metrics, or event reporting. Add raw storage, a dead-letter topic, or scheduled jobs if those are essential to the design. Keep the diagram current when equipment, cable paths, service ownership, or security boundaries change, so it remains useful for planning and operations.

Type Network topologyStandard Cisco-convention topology iconsEngine schematex-networkUpdated 9/24/2026

The request

“A GCP data analytics pipeline: application events publish to Pub/Sub, Dataflow transforms the stream into BigQuery, and a Looker dashboard queries BigQuery.”

Then tryAdd Cloud Storage for raw event archivesAdd a dead-letter topic beside Pub/Sub

What is in this drawing