The Case for Real-Time
Fraud detection, personalisation, operational monitoring, and real-time pricing all require data to be processed within seconds — not overnight. Streaming pipelines make this possible.
Architecture Pattern
- Ingestion: Event producers publish to Apache Kafka topics.
- Processing: Apache Flink or Spark Streaming consumes and transforms events in micro-batches.
- Serving: Processed data lands in a real-time store (Redis, Apache Druid) for low-latency queries.
- Visualisation: Real-time dashboards in Grafana or Apache Superset refresh every few seconds.