There is no doubt that a flood of data has already come. There is data everywhere and loads and loads of data. The typical size of datasets has shot up from giga bytes to peta bytes and the complexity has increased manifold. Data comes from varied sources “ be it the twitter updates or the constant social media data and this data are highly unstructured in form. Gone are the days where traditional relational databases used to store all the data in relational tables. Companies are increasingly making a move to outsource Java development roles to other parties.
The advent of big data and correspondingly Hadoop from Apache is a big leap in the world of information technology. The shift is towards more economical and scalable platforms wherein real-time huge chunks of fast moving data is captured and processed at high speed with utmost efficacy. If you are an IT professional, you must have your hands dirty with Java already. However, here are the top 5 reasons why you should learn Hadoop not only to negotiate for a larger hike but also to enrich your resume.
The job prospects are really high
Being a Java professional, you can add skills like MapReduce, Pig, Hive and Hadoop to increase your marketability. According to latest research conducted, there are several job openings in the country and abroad where the demand for professionals with these skills is high. Java, being a language that is the backbone of Hadoop, it is extremely advantageous for Java professionals to get a better, faster and good grasp of Hadoop and the Map reduce algorithm.
Hadoop can differentiate you from the rest
The demand for Java developers is high no matter what; however, what the benefits of having additional skills in Hadoop are can be learnt from the various of its business applications we come across. Knowing Hadoop helps you with a better edge to stand out from the crowd. It is much easier for a Java professional with Hadoop skills to understand and debug the Hadoop issues as compared to any her programmer.
Java Hadoop is the best combination in IT to have
Java professionals who have been traditionally working on this platform are increasingly shifting towards more data oriented roles. Java along with Hadoop opens new frontiers of work roles such as data scientist, business intelligence engineer, big data architect, big data tester, data analyst or data engineer.
High Packages in the market
Better packages are certain with Hadoop skills along with Java. This combination pays more in general than other technologies such as UNIX, SAP or Teradata.
It is easier to get into a dream company of your choice
If knowing Java has not yet helped you land up on the dream company of yours, having Hadoop along on your plate is certainly going to help you get a job at one of the companies of your choice.
Conclusion
With the digital world growing at such a high pace, the data is moving from petabytes to exabytes to zeta bytes. To effectively manage such huge loads of highly complex data, companies need to outsource java development work to professionals who are well equipped with big data skills along with Java.
