Question: 3 . 1 4 . Big data processing often requires handling massive datasets that exceed the capabilities of single computers. Distributed processing architectures address this

3.14.Big data processing often requires handling massive datasets that exceed the capabilities of single computers. Distributed processing architectures address this challenge by dividing the workload among multiple machines. Briefly discuss:(i) How distributed processing overcomes the limitations of centralized processing in terms of scalability and fault tolerance.(ii) One advantage and one limitation of distributed processing compared to centralized processing.(iii) An example of an industry or application where distributed processing is particularly beneficial.

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