Question

Which of the following technology is best suitable for Big Data? *

1 point

MapReduce

C

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Answer 1

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Answer 2

Option a) MapReduce

MapReduce technology is best suitable for Big Data.

• Hadoop is one of the top technologies used when dealing with large amounts of data. This technique, which primarily handles batch data processing, is largely based on the map-reduce architecture. Additionally, it has the capacity to complete work in groups.
• A concurrent, distributed method known as MapReduce can process massive data sets on a cluster (source: Wikipedia). Big data can be handled with Map Reduce when combined with HDFS.
• By dividing petabytes of data into smaller chunks and processing them in parallel on Hadoop commodity servers, MapReduce makes concurrent processing easier. In the end, it collects all the information from several servers and gives the application a consolidated output.
• MapReduce performs two crucial tasks: the reducer, also known as the reducer, organises and lowers the results from each node into a coherent response to a query, while the mapper filters and distributes work to various nodes within the cluster or map.

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