FUNDAMENTALS OF COMPUTER

DATABASE FUNDAMENTALS

BASICS OF BIG DATA

Please wait while the activity loads.
If this activity does not load, try refreshing your browser. Also, this page requires javascript. Please visit using a browser with javascript enabled.

If loading fails, click here to try again

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

Which of the following Hadoop modules consists of the common utilities and libraries that support the other Hadoop modules?

A	Hadoop Common
B	Hadoop YARN
C	Hadoop Distributed File System (HDFS)
D	Hadoop MapReduce

Explanation:

Detailed explanation-1: -Hadoop Common refers to the collection of common utilities and libraries that support other Hadoop modules. It is an essential part or module of the Apache Hadoop Framework, along with the Hadoop Distributed File System (HDFS), Hadoop YARN and Hadoop MapReduce.

Detailed explanation-2: -The HDFS is the module responsible for reliably storing data across multiple nodes in the cluster and for replicating the data to provide fault tolerance. Raw data, intermediate results of processing, processed data and results are all stored in the Hadoop cluster.

Detailed explanation-3: -There are three components of Hadoop: Hadoop HDFS-Hadoop Distributed File System (HDFS) is the storage unit. Hadoop MapReduce-Hadoop MapReduce is the processing unit. Hadoop YARN-Yet Another Resource Negotiator (YARN) is a resource management unit.

Detailed explanation-4: -Apache HDFS is a distributed file system for storing large amounts of data in the area of Big Data and distributing it on different computers. This system enables Apache Hadoop to be run in a distributed manner across a large number of nodes, i.e. computers.

There is 1 question to complete.