FUNDAMENTALS OF COMPUTER

DATABASE FUNDAMENTALS

BASICS OF BIG DATA

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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

Which of the following is not an advantage of Mapreduce?

A	Scalability
B	Cost-effective solution
C	Flexibility
D	Fast
E	Graceful

Explanation:

Detailed explanation-1: -It does not support integration of other data processing frameworks and forces everything to look like a MapReduce job. The emerging customer requirements demand support for real-time and near real-time processing on the data stored on the distributed file systems.

Detailed explanation-2: -Limitations of Hadoop MapReduce and Apache Spark No Support for Real-time Processing: Hadoop MapReduce is only good for Batch Processing. Apache Spark only supports near Real-Time Processing.

Detailed explanation-3: -Having said that, there are certain cases where mapreduce is not a suitable choice : Real-time processing. It’s not always very easy to implement each and everything as a MR program. When your intermediate processes need to talk to each other(jobs run in isolation).

There is 1 question to complete.