What are the different types of data processing architectures?
There are several types of data processing architectures, including batch processing, stream processing, and micro-batch processing. Each has its own use cases and advantages.
Can you explain batch processing in more detail?
Batch processing involves collecting data over a period and processing it all at once. It's efficient for large volumes of data but not suitable for real-time processing.
What about stream processing?
Stream processing allows for continuous input and processing of data in real-time. It's ideal for applications that require immediate insights, like fraud detection.
Which architecture is best for big data applications?
For big data applications, a combination of batch and stream processing is often used to balance efficiency and real-time analysis.
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