What are the performance differences between batch and stream processing?
Batch processing handles large volumes of data at once, while stream processing deals with data in real-time.
Which one is more efficient for real-time analytics?
Stream processing is generally more efficient for real-time analytics as it processes data instantly.
Are there scenarios where batch processing is preferred?
Yes, batch processing is preferred for tasks like end-of-day reports or large data migrations where real-time isn't critical.
How do I choose between the two for my application?
Consider your data volume, processing speed requirements, and whether you need real-time insights to make the best choice.
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