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Data & Analytics · Intermediate

Stream Processing

Continuously processing data records as they arrive to produce near-real-time results.

Definition

Streaming handles unbounded data with event-time windows, watermarks for late data, and stateful aggregations. Engines include Spark Structured Streaming, Apache Flink, Google Dataflow (Apache Beam), Kafka Streams, Azure Stream Analytics and Fabric Real-Time Intelligence.

Example

Fraud scoring on card transactions within seconds of the swipe.

Exam tip

Sub-second to seconds latency requirements point to streaming; 'real-time dashboards' are a common cue.

Related terms