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End-to-end data flow for collecting, enriching, aggregating, and scoring user events — web and mobile sources feeding into ML and metrics stores. Reference pattern for any product analytics or telemetry pipeline.
End-to-end analytics stack on Google Cloud: Pub/Sub ingest, Dataflow transformation, BigQuery warehousing, Looker visualization. Modern lakehouse pattern with orchestration via Cloud Composer.
Streaming ingestion and analytics using Kinesis, Lambda, DynamoDB, and Redshift. Captures events, processes in real-time, archives for historical analysis. Ideal for telemetry, analytics, and monitoring workloads.