FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -The Hadoop framework itself is mostly written in the Java programming language, with some native code in C and command line utilities written as shell scripts. Though MapReduce Java code is common, any programming language can be used with Hadoop Streaming to implement the map and reduce parts of the user’s program.

Detailed explanation-2: -Hadoop was written originally to support Nutch, which is in Java. Because Nutch could only run across a handful of machines, and someone had to watch it around the clock to make sure it didn’t fall down. That is where Hadoop come into existence.

Detailed explanation-3: -Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in parallel more quickly.

Detailed explanation-4: -Java is the language behind Hadoop and which is why it is crucial for the big data enthusiast to learn this language in order to debug Hadoop applications.

Detailed explanation-5: -The Hadoop framework is mostly written in the Java programming language, with some part of the code in C and command line utilities written as shell scripts. Java is a high-level, class-based, object-oriented programming language that is designed to have as few implementation dependencies as possible.