Can you explain how stream processing works?
Sure! Stream processing involves continuously inputting and processing data in real-time, allowing for immediate insights.
What are some common use cases for stream processing?
Common use cases include real-time analytics, fraud detection, and monitoring social media feeds.
How does it differ from batch processing?
Unlike batch processing, which handles data in large chunks at scheduled intervals, stream processing deals with data as it arrives.
What technologies are commonly used for stream processing?
Technologies like Apache Kafka, Apache Flink, and Apache Storm are popular for implementing stream processing.
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