What is stream processing architecture?
An example of an AI chatbot conversation about stream processing architecture.
What is stream processing architecture?
Stream processing architecture is a design pattern for processing data in real-time as it flows in, rather than in batches.
What are the key components of a stream processing architecture?
Key components include data sources, stream processing engines, and data sinks. Each plays a crucial role in handling data.
Can you give me an example of a stream processing use case?
Sure! A common use case is real-time fraud detection in financial transactions, where data is analyzed as it occurs.
What technologies are commonly used for stream processing?
Popular technologies include Apache Kafka, Apache Flink, and Apache Spark Streaming, each offering unique features.
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