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Compare Hadoop and Spark?
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Answer / Bhasker Sah
Hadoop and Spark are both big data processing frameworks, but they have distinct differences. Hadoop MapReduce is a batch-oriented, distributed processing system that breaks down large datasets into smaller chunks (maps), processes them independently (reduces), and combines the results. Spark, on the other hand, offers faster performance for iterative and interactive data processing through in-memory caching and lazy evaluation of operations. Spark also supports streaming, machine learning, SQL queries, and graph processing, while Hadoop's focus is primarily on batch processing.
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