Article

Future of Hadoop Developers in India

Topic: Career Coach and Career CoachingPublished December 4, 2018

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Hadoop If you're a fresher there's a huge scope, if you're skilled in Hadoop. Amongst the open source framework, there are almost no other differences which may deal with pet bytes of data as Hadoop can. In 2018 was it was predicted that Indian big data Hadoop trade will grow 5 folds within the analytics center Imagine you're looking TV and see ads that are streaming on it, are all relevant? Thus clearly you're not that interested and begin surfing. However imagine if the add that's on the TV is of your interest, assume you visited a burger outlet to have a juicy burger and the add that comes up is that the same product, or say you went shopping for shades and also the add is regarding the same product. Now imagine if this can be true for all people would that not be a lot of effective? This can be just one of the aspects of big data. The only challenge now's to manage the big data, and with innovations within the field of big data like Hadoop the scope is getting bigger. Scope of Hadoop The scope of Hadoop Developers. As the size of data will increase, the demand for Hadoop technology can rise. There’ll be a need for more Hadoop developers to deal with big data challenges. IT professionals having Hadoop skills are going to be benefited with increased pay packages and an accelerated career growth. Is there a demand for Hadoop? Hadoop has almost become similar to big data. Although it's quite a few years old, the demand for Hadoop technology isn't going down. Professionals with information on the core elements of the Hadoop like HDFS, Map Reduce, Flume, Oozie, Hive, Pig, HBase, and YARN are and will be high in demand. Salary Structure for Hadoop professionals The pay structure for a trained skilled in big data Hadoop is quite lucrative with an average start-up at 6 – 9 lakh and a manager with 7-10 years getting anywhere near to 15-20 lakh Skills needed to become a Hadoop Developer: •Knowledge in Hadoop – kind of Obvious!! •Good knowledge in back-end programming, specifically Java, JS, Node.js and OOAD. •Writing high-performance, reliable and maintainable code. •Ability to write Map Reduce jobs. No Learning Hadoop isn't very difficult. Hadoop is a framework of Java. Java isn't a compulsory prerequisite for learning Hadoop. ... Hadoop (as in HDFS + Map Reduce) is Java so to actually understand and use it you will need to learn Java.

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