Hadoop Development – Make A Career Of It!!

It has been a decade since Hadoop emerged as a successful framework to tackle the problem of Big Data. Hadoop being an open-source framework that it is has gained a lot of popularity and is considered one of the most valuable skills in the field of Big Data Analytics. Getting skilled on the Hadoop frameworks promises a satisfying career and big bucks too. Given the huge volumes of data which are being generated every moment, Big Data Analytics is here to stay for a very long time. And to process that data, a framework like Hadoop is always required to be in place. Hadoop is fairly simple to understand and since it is an open-source framework its deployment is quite simple. 

A professional who has been working in the field of analytics can easily move into Big Data. Since it is a Java based framework, it becomes easy for Java professionals to understand and work on Hadoop. But that doesn’t mean that people who don’t have experience in the above mentioned fields cannot learn Hadoop. All it takes is the will to learn and an aspiration to be in one of the most exciting realm of Information Technology. 

Since we are talking about careers in Hadoop Development it is important to understand what does being a Hadoop Developer entail? A Hadoop Developer should possess the basic understanding of Java and must have complete know-how of the Hadoop framework. Right from Hadoop Distributed Filing System to MapR and other components of Hadoop cluster like Pig, Hive, Sqoop, Flume and so on and so forth. All this is from a technology standpoint and besides this domain knowledge is an imperative skill when it comes to being a Hadoop Developer. This domain knowledge can vary from company to company. For example a company whose core business is telecommunication will require a Hadoop Developer who has the understanding of telecommunication related basics to resolve the business issues. 

It is not that difficult to write jobs in MapReduce or Pig scripts or even work on Hive queries once you develop an understanding of the Hadoop ecosystem along with its components. What might actually pose a challenge is mapping a business problem to MapReduce problem.

This can be further understood with an example. Consider a situation where you have to identify customers whose information might be at risk from a call data record. Prima facie this would require you to understand the nature of the call data record in question followed by knowing about the parameters which define the customers’ vulnerability to risks. Simply put, the first thing you need to do as a professional is to have an understanding of the business problem manually on a small dataset and post that use Hadoop to implement the same logic to map the same to Hadoop or MapReduce etc.

There are numerous Hadoop Developer Training and Certification which prepare you for the job. One such program is Collabera’s Big Data Hadoop Developer Certification. These Hadoop Developer Training not only prepare you on Hadoop but also help you to understand the nature of work in Big Data Analytics by putting you on real industry based jobs. If you wish to have a great career and have a liking for analytics then enrol in a Big Data HadoopDeveloper Training today.