What are the differences between real-time processing and batch processing?
Real-time processing involves continuous input and output of data, while batch processing collects data over time and processes it in groups.
Can you give me examples of each type?
Sure! Real-time processing examples include online transaction processing and live data analytics. Batch processing examples include payroll systems and end-of-day reporting.
Which one is better for large datasets?
It depends on the use case. Batch processing is often more efficient for large datasets, while real-time processing is better for immediate insights.
What are the advantages of real-time processing?
Advantages include immediate data insights, faster decision-making, and the ability to respond to events as they happen.
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