DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
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Perl
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Python
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Java
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Detailed explanation-1: -HDFS is built using the Java language; any machine that supports Java can run the NameNode or the DataNode software. Usage of the highly portable Java language means that HDFS can be deployed on a wide range of machines. A typical deployment has a dedicated machine that runs only the NameNode software.
Detailed explanation-2: -Hadoop distributed file system. The Hadoop distributed file system (HDFS) is a distributed, scalable, and portable file system written in Java for the Hadoop framework.
Detailed explanation-3: -Explanation: HDFS is implemented in Java and any computer which can run Java can host a NameNode/DataNode on it.
Detailed explanation-4: -HDFS is a distributed file system that handles large data sets running on commodity hardware. It is used to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes. HDFS is one of the major components of Apache Hadoop, the others being MapReduce and YARN.
Detailed explanation-5: -HDFS employs a NameNode and DataNode architecture to implement a distributed file system that provides high-performance access to data across highly scalable Hadoop clusters.