To build a real-time event architecture:
- Ingest Events: Use Snowplow trackers to collect events from web, mobile, or IoT sources.
- Stream Events: Forward data to a streaming platform like Kafka or AWS Kinesis for reliable and scalable transport.
- Process Events: Apply transformations or analytics in real time using tools like Apache Flink, Spark Streaming, or AWS Lambda.
- Route Processed Data: Send output to data warehouses (e.g., Snowflake), dashboards, or real-time inference engines.
This architecture enables low-latency data flow, making it suitable for dynamic, responsive applications.
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