7 Reasons Why Java Developers Should Learn Hadoop


Technology keeps flourishing every passing year. With the enhancement in such, technology professionals too are progressing. If you are willing to abide by the progress, you need to keep yourself updated to take a step ahead to compete. It is important for you to identify your domain, analyse the latest trends to garner the knowledge on the growing niche in the technological world.

Such days are gone when development work surrounded Java and relational databases. In today's world, companies are organizations are dealing with big data. They tend to outsource Java development roles to the other parties who are already having big data professionals. It is big data that takes you to take the next loop to Java and Hadoop complements each other. So, if you are a Java Developer, you have to make the right choices to conduct the transformation from Java to Hadoop.

What’s exceptional about Hadoop?


Unlike other traditional databases that are not capable of dealing with large volumes of data, Hadoop presents you with the cheapest, quickest and smartest way to store and processing bulk of data. This makes Hadoop way popular for the big companies, government organizations, financial services, online marketing agencies and so much more. The best way gets familiarized with the language to figure out the beginner's big data Hadoop course online.

Here are some of the leading reasons why Java developers should switch to Hadoop

Easy Learning For Java Developers


If you are a pro-Java developer, learning Hadoop tends to be an easy learning process. Written completely in Java, it is a language that you are already going to be familiar with. Switching from Java to Hadoop is a five-finger exercise for professionals like you. This is so because MapReduce script is used in the Hadoop is completely formulated in Java itself. Your Java skills become easily available when debugging Hadoop apps and acquiring programming tool Latin Commands.

Along with the same, HDFS is the main file system of Hadoop which is also Java-based programming language. So, if you are a Hadoop developer, you need to write files from the local systems to HDFS through the deployment that further includes Java Programming.

Helping You To Stay Ahead Of Your Competition


When you are a Java expert, you are just as any other developer. When you become a Hadoop developer, you are setting an example and get a chance to stand out from the crowd. Jobs related to Big Data and Hadoop are acquiring great recognition and popularity in the market. It is the Java professionals who need to have the required skill set that could easily be picked by big companies for high salary packages. Being a developer, you need to acquire the knowledge and big data Hadoop training program and understand the concepts from a professional expert.

Scope To Move Into Lucrative Field


Fortunately, in case of you, the venture does not come to an end with Hadoop and MapReduce. There are golden opportunities for you to make use of the Hadoop skills and expertise to enhance your way out to Artificial Intelligence, Data Science, Sensor Web Data as well as Machine Learning. These domains are the emerging markets and you could see them flourishing in the course of the next 5 years. Proper knowledge and experience in Big Data and Hadoop might way for the enhancement of acquiring your placement in the Big Data dependent companies like Amazon, Yahoo, Facebook, IBM, eBay and Twitter.

Perfect Blend of good choices


With a better scope for the career, you as a java developer will tend to get your hands on better packages if you learn and enhance your skills in Hadoop. It has also been mentioned into statistics that 9 out of 10 people are offered hike in their salaries or giver higher package who are into programming languages like a database. So if you are java developers and also making your way to learning Hadoop for better development, you have got the higher chances of boosting your annual package. This is so because both the programming languages hold great importance.

Better work quality


Learning Big Data is time-consuming work. But acquiring the skills is certainly worth it. When it comes to the Java developers, learning this form of the programming language will not be time-consuming. It becomes rather more convenient for you to make use of the time for taking up bigger and complex projects and solve it without much hassle. Besides the same, when it comes to Java, there are certain restrictions to maintain. But when to tend to work with Hadoop, the result is exemplary. This will further allow you to conduct on-time delivery of the work providing great work quality and customer satisfaction.

Your growth is equal to the industry growth


It has already been predicted by IDC that user base for Hadoop and Big Data is going to increase in the course of the next developing years by nearly 27 percent. This further states that Java developers will have better scope in upgrading their knowledge for this language and get the recognition globally. It's demand in more applicable to the areas in relevance to Fraud Detection, Social Media Analytics, IT log analytics, Call Center analytics.

Creating Way with Java and Linux


Hadoop is the open-source platform that is curated with a blend of two technologies - Java and Linux. Java is used for the accurate analysis and the proceedings of the large set of data. Now, Hadoop is Java-based and is expected that the professionals who are in Java are concentrated to work on their knowledge as well as enhancement in the skills for using of Linux will be an added advantage. With the combination of Java and Linux, it becomes easier for the developers to pave the enroute for smoother Hadoop development. There are at times where a Hadoop developer has to do very little to dig into the Hadoop coding. For this, knowledge of Linux and knowing the different components of Java is known to be a blessing in disguise.

Final Words –


With Hadoop, you will be able to take your career to the very next level. So, if you are still not aware of the concept of this language, it is high time you should take up the online training for understanding the standard of Hadoop programming. The hard work will pay off to the venture of clearing out all the complex concepts.

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