High-Level Computer Language Programs Are Directly Understood By A Compute 6 Reasons Why Java Developers Should Learn Hadoop

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6 Reasons Why Java Developers Should Learn Hadoop

Imagine there are two girls in front of you – The first girl is cute, beautiful, interesting and has a smile that any man would die for. And the other girl is average, quiet, not that impressive… she is no different from those you usually see at the cash counter of the restaurant. Which girl will call for a date? If you are like me, you choose the attractive girl. You see, life is full of options and making the right choice is what matters most.

If you are a Java developer, then you probably have more choices to make – like switching from Java to Hadoop.

Big data and Hadoop are the two most popular buzzwords in the industry. Chances are you’ve come across these two terms on Java payscale forums or seen your senior colleagues making the switch to get bigger paychecks. I’ll tell you what, upgrading from Java to Hadoop isn’t just about staying up-to-date with the latest technology or getting ratings – it’s about being competent and putting your career in fifth gear.

The good news for all aspiring Hadoop developers is that the Big Data industry has already crossed the $50 billion mark and more than 64% of the top 720 companies in the world are interested in investing in this advanced technology as revealed by Gartner in 2013. .

If that’s not convincing, take a look at these stats:

1. According to an IDC report, the Big Data industry is growing at a rate of 31.7% per year.

2. Java developers are seen as the best replacement option for Hadoop developers, says Forrester.

3. Hadoop developers benefit from a 250% pay increase for Java developers, as stated in an Analytics Industry Report.

What is special about Hadoop?

Unlike traditional databases that were unable to deal with large volumes of data, Hadoop offers the fastest, cheapest and most intelligent way to store and process gigantic volumes of data – and that is why it is so popular among the big corporations, the government. organizations, hospitals, universities, financial services, online marketing agencies, etc. The best way to familiarize yourself with the language is to check out the beginner’s big data hadoop course online.

Okay, now we have some reasons why Java developers should move to Hadoop.

1. Easy To Learn For Java Developers

A tennis player like Rafael Nadal loves clay courts because the surface suits him well and that is where he has had the most success. Likewise, any Java developer would love Hadoop because it’s written entirely in Java—a language you’re already so familiar with. Moving from Java to Hadoop is a cake-walk for professionals like you because the MapReduce script used in Hadoop is actually written in Java itself. Awesome, isn’t it?

Your Java skills will be useful for debugging Hadoop applications and using Pig (programming tool) Latin commands.

2. It helps you stay ahead of your competition

If you are a Java professional, you are just seen as one person in the crowd. But, if you are a Hadoop developer, you are seen as a potential leader in the crowd. Big Data and Hadoop jobs are a hot deal in the market and Java professionals with the required skill set are easily picked by big companies for high salary packages. All you need to do is attend a big data hadoop online training program and learn the concepts from an expert.

3. Scope To Move Into Bigger Domains

Fortunately for you, the road does not end with Hadoop and MapReduce. There are always golden opportunities to use your Hadoop skills and expertise to move into higher levels such as Artificial Intelligence, Data Science, Sensor Web Data, and Machine Learning. These are the emerging markets, and you will see them dominate the industry in the next 4-5 years. A good knowledge in Big Data and Hadoop could increase your chances of getting into some of the biggest Big Data dependent companies like Amazon, Yahoo, Facebook, Twitter, IBM and eBay.

4. Lucrative Packages For Hadoop Professionals

By switching from Java to Hadoop, you can expect a higher salary and better career prospects—the kind of salary and designation your wife would love to rave about. According to Indeed, the average salary for a Big Data Hadoop developer with 1-2 years of experience is around $140,000 per year in the United States. However, as you gain experience and become a senior Hadoop developer, you can earn a good salary of $400,000+.

5. An Improved Quality Of Work

Learning Big Data Hadoop can be very beneficial because it will help you deal with larger and complex projects much easier and provide better performance than your colleagues. To be considered for the evaluations, you need to be someone who can make a difference in the team, and this is what Hadoop allows you to be.

6. Grow with the industry

With IDC predicting that the user base of Big Data and Hadoop (large companies and government organizations) is likely to increase at 27% annually, you have a great opportunity to update your knowledge and skills and grow with industry

Big Data and Hadoop are widely used in applications such as IT log analytics, fraud detection, social media analytics and Call Center analytics – and learning a big data hadoop tutorial online could be the way to start your Hadoop career right away. Once you do that, you will find that staying up-to-date with the latest technology will be much easier and getting into the top organizations will never be “just a dream” – it will be a reality.

It’s here, people! Here are some solid reasons why learning Hadoop is important and how it can help take your career to the next level. If you are not familiar with it, then an easy way to learn the basics and know what Hadoop is all about is to do a simple Google search on a phrase like “how to learn Hadoop online”. When you do, please don’t forget to come back and share some useful information with our readers.

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