Pub/Sub to BigQuery Streaming Pipeline

The ordered pipeline from Pub/Sub to BigQuery moves data from event sources to analytics storage through dependent stages. Log events from endpoints flow first into Pub/Sub, then through stream processing, then into BigQuery tables where the data can be queried and visualized.

1. Publish to topic: Source systems publish user interaction events, server events, or sensor readings to a Pub/Sub topic.
2. Deliver through subscription: Pub/Sub holds the messages on the topic and delivers them to subscriber clients. If downstream pipelines stop, messages buffer in the subscription and processing resumes from the backlog when pipelines restart.
3. Process with Dataflow: A streaming Dataflow pipeline reads events from the subscription, performs operations such as cleaning or enrichment, and prepares rows for storage.
4. Write to BigQuery: Dataflow writes the processed rows into BigQuery using the Storage Write API, where the data lands in tables for analysis.
5. Analyze and visualize: Analysts run ad hoc SQL queries in BigQuery to recreate event sequences and feed near-real-time dashboards for trend detection.