Architecting Near Real-Time Analytics on GCP: Pub/Sub, Dataflow, and BigQuery

This article presents an architectural approach for building a near real-time analytics pipeline on Google Cloud Platform using Pub/Sub for ingestion, Dataflow for stream processing, and BigQuery for analytical storage. It discusses the paradigm shift from batch to streaming, addressing challenges like event time vs. processing time, stateful transformations, and handling message duplication in distributed systems.