What is Map-Reduce architecture?
Map-Reduce is a programming model used for processing large data sets with a distributed algorithm on a cluster.
How does the Map function work in this architecture?
The Map function processes input data and produces a set of intermediate key-value pairs.
And what about the Reduce function?
The Reduce function takes the intermediate key-value pairs and merges them to produce the final output.
Can you give me an example of how it's used?
Sure! It's commonly used in big data processing frameworks like Hadoop to analyze large datasets.
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