How much Java is required to learn Hadoop? : EpochResearch Institute India Pvt Ltd. (SASAuthorised Training : Ahmedabad | Bangalore)
One of the most frequently asked question by prospective Hadoopers is-“How much Java should I know to enter the exciting world of Hadoop”?
Hadoop is an open source software built on Java thus making it necessary for every Hadooper to be well-versed with at least core Java basics. Having knowledge of advanced Java concepts is a plus to learn Hadoop but definitely not compulsory.
Apache Hadoop is one of the most commonly adopted enterprise solution by big IT giants making it one of the top 10 IT job trends for 2015. Thus, it is mandatory for intelligent technologists to pick up Hadoop quickly with Hadoop ecosystem getting bigger day by day. The outpouring demand for big data analytics is landing many IT professionals to switch their careers to Hadoop technology. Professionals need to consider the skills before they begin to learn Hadoop.
Skills to Learn Hadoop-
- Hadoop is written in Java, thus knowledge of Java basics is essential to learn Hadoop.
- Hadoop runs on Linux, thus knowing some basic Linux commands will take you long way in pursuing successful career in Hadoop.
According to Dice, Java-Hadoop combined skill is in great demand in the IT industry with increasing Hadoop jobs.
Career counsellors at DeZyre frequently answer the question posed by many of the prospective students or professionals who want to switch their career to big data or Hadoop- “How much Java should I know to learn Hadoop”?
Most of the prospective students exhibit some kind of disappointment when they ask this question –they feel not knowing Java to be a limitation and they might have to miss on a great career opportunity. It is one of the biggest myth that- a person from any other programming background other than Java cannot learn Hadoop.
There are several organizations who are adopting Apache Hadoop as an enterprise solution with changing business requirements and demands. The demand for Hadoop professionals in the market is varying remarkably. Professionals with any of the diversified tech skills like – Mainframes, Java, .NET , PHP or any other programming language expert can learn Hadoop.
If an organization runs an application built on mainframes then they might be looking for candidates who possess Mainframe +Hadoop skills whereas an organization that has its main application built on Java would demand a Hadoop professional with expertise in Java+Hadoop skills.
Let’s consider this analogy with an example-
The below image shows a job posting on Monster.com for the designation of a Senior Data Engineer-
The job description clearly states that any candidate who knows Hadoop and has strong experience in ETL Informatica can apply for this job to build a career in Hadoop technology without expertise knowledge in Java.The mandatory skills for the job have been highlighted in red which include Hadoop,Informatica,Vertica, Netezza, SQL, Pig, Hive. The skill MapReduce in Java is an additional plus but not required.
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