Real-Time Data Pipelines for AI Workloads
Implementation guide for real-time streaming data pipelines: four-layer architecture, Flink feature computation, late-arriving data handling …
Flink
Real-Time Feature Computation Pattern
The architectural pattern for computing ML features from event streams: windowed aggregations, stream-table joins, dual-write to online and …
Stream Processing
What stream processing is, how Flink, Spark Streaming, and Kafka Streams enable real-time data transformation, and why streaming matters for …