About This Architecture

Real-time financial analytics pipeline on GCP using Pub/Sub, Dataflow, and BigQuery to ingest market data and transaction streams across isolated subnets. Market Data Feed and Transaction Stream flow through dedicated Pub/Sub topics into parallel Dataflow processing jobs that transform and load data into BigQuery data warehouses and Cloud Storage archives. BigQuery tables feed Data Studio dashboards for market insights, financial reporting, and compliance visualization, while Cloud IAM, Cloud Logging, Cloud Monitoring, and Security Command Center provide unified access control and audit trails. Fork this diagram to customize topic schemas, Dataflow job parallelism, or add additional compliance pipelines for your organization's regulatory requirements.

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How do I build a real-time financial analytics pipeline on GCP with Pub/Sub and Dataflow?

This diagram shows a complete GCP financial analytics architecture where Market Data Feed and Transaction Stream ingest into Pub/Sub topics, route through parallel Dataflow pipelines for transformation, and load into BigQuery data warehouses. Data Studio dashboards consume the analytics tables while Cloud IAM, Cloud Logging, Cloud Monitoring, and Security Command Center provide enterprise-grade se