Question

3.
Discuss the
mapper and reducer function workflow of given data. Also, write the
expected output.
"Every person had a star, every star had a friend, and for every person carrying a
star there was someone else who reflected it, and everyone carried this reflection
like a secret confidante in the heart."
Count the number of occurrences of each unique word in the given input dataset.​

Answer 1

Answer:

MapReduce is a programming model for writing applications that can process Big Data in parallel on multiple nodes. MapReduce provides analytical capabilities for analyzing huge volumes of complex data.

What is Big Data?

Big Data is a collection of large datasets that cannot be processed using traditional computing techniques. For example, the volume of data Facebook or Youtube need require it to collect and manage on a daily basis, can fall under the category of Big Data. However, Big Data is not only about scale and volume, it also involves one or more of the following aspects − Velocity, Variety, Volume, and Complexity.