What are real-time data streams and how do they work?
Real-time data streams are continuous flows of data that are processed and analyzed as they are generated. They enable immediate insights.
Can you give me some examples of real-time data streams?
Sure! Examples include social media feeds, stock market data, and IoT sensor data.
What technologies are commonly used to handle real-time data streams?
Technologies like Apache Kafka, Apache Flink, and AWS Kinesis are popular for managing real-time data streams.
What are the benefits of using real-time data streams?
Benefits include faster decision-making, improved customer experiences, and the ability to respond to events as they happen.
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