What is real-time data processing?
Real-time data processing refers to the immediate processing of data as it is created or received.
Can you give me some examples of real-time data processing?
Sure! Examples include online transaction processing, live sports updates, and real-time analytics for social media.
What technologies are commonly used for real-time data processing?
Common technologies include Apache Kafka, Apache Storm, and stream processing frameworks like Apache Flink.
What are the benefits of using real-time data processing?
Benefits include faster decision-making, improved customer experiences, and the ability to respond to events as they happen.
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