Question

Why are logs a good fit for MapReduce processing?

a.

Logs are highly structured, making them easy to process with an RDBMS.

b.

Logs are usually small in size, requiring minimal scalability.

c.

Logs follow complex patterns that can only be processed with MapReduce.

d.

Logs are somewhat structured, require scalability, and benefit from processing en masse.

Posted under Big Data Computing

Answer: (d).Logs are somewhat structured, require scalability, and benefit from processing en masse. Explanation:Logs are a good fit for MapReduce processing because they are somewhat structured, require scalability, and benefit from processing en masse to analyze large amounts of log data.

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