What are the benefits of using MapReduce?
MapReduce offers scalability, fault tolerance, and efficient processing of large data sets across distributed systems.
Can you explain how it achieves fault tolerance?
Sure! MapReduce automatically re-executes failed tasks on different nodes, ensuring data processing continues smoothly.
What types of data processing tasks is it best suited for?
It's ideal for tasks like data aggregation, sorting, and large-scale data analysis, especially in big data environments.
Are there any limitations to using MapReduce?
Yes, it can be slower for small data sets and has a higher overhead due to its distributed nature.
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