How much of Java does Hadoop require?
Apache Hadoop is an open source framework written in Java. For writing Hadoop programs (MapReduce Jobs) in Java, a programmer needs to know only the basics of Core Java. However, advanced knowledge of Java concepts is a plus as it allows the user to write complex MapReduce codes. Hence, advanced concepts of Java can be learned on a need-to-know basis. So, yes, Non-Java programmers can indeed learn Hadoop!
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Don’t know Java? Want to learn Hadoop?
A common misconception is that MapReduce Jobs can only be written in Java. Apache Hadoop comes with APIs that allows us to write codes in languages other than Java.
Some of the languages are:
Python is a language which is easier to learn, understand, and code than Java. It has thus, become a favorite of new programmers.
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If you already know some amount of Python programming, then click here.
Ruby is used by many developers to build web applications. It is easier for web application developers who know Ruby to use it to code MapReduce Jobs.
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If you already know some amount of Ruby programming, then click here.
Perl is a programming language used by many testers, system administrators, and developers as it brings along with it a huge number of ready-to-use modules.
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If you already know some amount of Perl programming, then click here.
C# is an object-oriented programming language. .NET developers use this to develop Windows application.
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Not a programmer? No Problem.
Pig and Hive are tools that are built on top of Hadoop. They are easy-to-learn and understand for people having an interest in learning it but have no prior knowledge of any programming language. The programs (written in Pig Latin or HiveQl) are converted to MapReduce jobs that run on the Hadoop cluster. As a result, it eliminates the need for knowing any programming language.
Yahoo! developed Pig to process large data sets in Hadoop without having to code in Java or any other language. Thus, it created its own easy-to-learn language-Pig Latin. In the back-end, Pig runs MapReduce jobs and acts as a layer of abstraction which makes it easy for the programmers.
To learn more about Apache Pig, click here.
Facebook wanted to use Hadoop but lacked Java developers. Hence, they developed HiveQl which is very similar to SQL. Thus, anyone who knows SQL can use Hadoop without going through the pain of writing a MapReduce Job.
To learn more about Apache Hive, click here.
So, you are now clear that to learn Hadoop you don’t need to know Java. Some still think that this is the next big thing in analytics. Now, everyone (from programmers to non-programmers) can learn this tool!