GCP Big Data Analytics Pipeline with BigQuery and Dataflow
About This Architecture
End-to-end big data analytics pipeline on Google Cloud featuring Pub/Sub for real-time ingestion, Dataflow for stream and batch processing, Cloud Storage for data lake zones, BigQuery for warehouse analytics, and AI Platform for ML model serving. Includes Cloud Monitoring for observability across all pipeline stages. Fork this diagram on Diagrams.so to customize the ingestion sources or add additional ML model endpoints for your analytics workload. Source: https://docs.cloud.google.com/architecture
Architecture prompt
End-to-end big data analytics pipeline on Google Cloud featuring Pub/Sub for real-time ingestion, Dataflow for stream and batch processing, Cloud Storage for data lake zones, BigQuery for warehouse analytics, and AI Platform for ML model serving. Includes Cloud Monitoring for observability across all pipeline stages. Fork this diagram on Diagrams.so to customize the ingestion sources or add additional ML model endpoints for your analytics workload. Source: https://docs.cloud.google.com/archite...
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