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Rolex is the synonym for luxury watches. Jack Daniels reminds you of whiskey. Similarly Java paints you an image of a computer professional. The 1990s saw a huge surge in the demand of Java Programming professionals who wanted to make entry in the big data industry. Today as the world moves ahead, the companies have also moved over to Hadoop professionals who are making it count in the data industry.
What's good with Hadoop is that it just signals good times for Java developers ahead. Since Java is a preferred language for Hadoop, it implies all the businesses that are making the shift to Hadoop will be hunting for Java professionals who have scaled their world to Hadoop.
Apache Hadoop or Hadoop as it popularly known world over is an Open-source software framework built in Java. It is the most favoured technology for handling distributed storage and processing of large data sets on clusters of computers. Let's see how the industry and more importantly you as a professional is embracing this technology.
Market Data and Stats
As per reports in the industry, Hadoop professionals are getting up to 250% salary hike. 720 clients were asked if they were willing to shift to Big Data technologies. An astounding 64% confirmed that yes they were looking forward to leverage the power of Hadoop and Big Data.
As per a report published by Forbes, demand for big data expertise saw a jump of 89.8% for Computer Systems Analysts with Big data info. And for Information Technology Managers that knew Hadoop and Big data respectively, the world grew for them by over 100%.
Why Hadoop?
This has been seen that salaries of Hadoop professionals across the world are the highest when compared to other technology professionals. According to reports, Big Data Analytics Hadoop professionals earned average salaries of $108,669 in 2013, way above their counterparts in Unix and Teradata techies.
Further analysis of the current trends in the market makes us to believe that the industry has a hiring affinity towards Java professionals who have moved over to Hadoop. That can be because it is easier for them to understand things like Hadoop distributed file system (HDFS), Mapreduce, HBase. HDFS is a file system written in Java for the Hadoop framework. The tables created in HBase which is a database serve as input output for MapReduce jobs run in Hadoop that can be accessed using Java API.
Learning Hadoop
The stats show that there is no better time to learn Hadoop then now. Learning Hadoop is an easy job but just like learning any new technology, you have to be on the right track. Hadoop’s Wiki page is a good place to start. However, it’s also advisable to enroll with a Big Data and Hadoop solutions provider that can give you some practical hands on training.
Avenues
There are many corporations across the world like, Hortonworks, Oracle and Pivotal, who are hiring Hadoop professionals on a random basis. It has also been seen that every industry has its eyes set on Big data, your dream industry or company is not that far, it is the right time to start learning Hadoop at Manipal ProLearn. Buckle up your entry ticket to the big data industry is just a click away.
