Imagine that there are two girls in front of you: the first girl is cute, beautiful, interesting and has the smile that any guy would die for. And the other girl is average looking, quiet, not that impressive… she’s no different from the ones you usually see at the restaurant cash counter. Which girl will you call for a date? If you are like me, you will choose the attractive girl. You see, life is full of choices and making the right decision is the most important thing.
If you’re a Java developer, you probably have more choices to make, such as switching from Java to Hadoop.
Big data and Hadoop are the two most popular buzzwords in the industry. Chances are you’ve come across both of these terms on Java pay scale forums or seen your senior colleagues make the switch for bigger paychecks. I’ll tell you something, upgrading from Java to Hadoop isn’t just about keeping up with the latest technology or getting evaluations, it’s about being proficient and putting your career into 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 world’s top 720 companies are interested in investing in this technology with vision of the future, as revealed by Gartner in 2013. .
If that doesn’t convince you, 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 enjoy a mighty 250% pay increase than Java developers, as noted in an industry analytics report.
What is special about Hadoop?
Unlike traditional databases that were not capable of handling large volumes of data, Hadoop offers the fastest, cheapest and most intelligent way to store and process large volumes of data, and that is the reason why it is so popular among large corporations, government organizations, hospitals, universities, financial services, online marketing agencies, etc. The best way to get familiar with the language is to check out a big data hadoop course for beginners online.
Ok, now let’s look at some reasons why Java developers should switch 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 been most successful. Similarly, any Java developer would love Hadoop because it’s completely written in Java, a language he’s already very familiar with. Switching from Java to Hadoop is a piece of cake for professionals like you because the MapReduce script used in Hadoop is written in Java. Impressive, isn’t it?
Your knowledge of Java will come in handy when debugging Hadoop applications and using Latin Pig (programming tool) commands.
2. Helps you stay ahead of your competition
If you are a Java professional, you are only seen as a person in a crowd. But, if you are a Hadoop developer, you are seen as a potential leader in the crowd. Big data and Hadoop jobs are hot on the market and Java professionals with the required skill set are easily selected by large companies for high salary packages. All you have to do is attend a Big Data Hadoop online training program and learn the concepts from an expert.
3. Scope to move to larger domains
Fortunately for you, the road doesn’t end with Hadoop and MapReduce. There is always a golden opportunity to use your Hadoop skills and experience to move to higher levels such as artificial intelligence, data science, web sensor data, and machine learning. These are emerging markets and you will see them dominate the industry in the next 4-5 years. A good knowledge of Big Data and Hadoop could increase your chances of getting into some of the largest companies that rely on Big Data, such as 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 like to get excited 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 will be able to earn a nice salary of over $400,000.
5. Improved quality of work
Learning Big Data Hadoop can be very beneficial because it will help you deal with larger and more complex projects much more easily and deliver better results than your peers. To be considered for evaluations, you need to be someone who can make a difference on the team, and that’s what Hadoop allows you to be.
6. Grow with the industry
With IDC forecasting that the Big Data and Hadoop user base (large enterprises and government organizations) is likely to grow by 27% per year, you have a great opportunity to update your knowledge and skills and grow with the 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, you’ll find that staying up to date with the latest technology will be so much easier and getting into the best organizations will never be “just a dream”, it will be a reality.
That’s all folks! Here are some solid reasons why learning Hadoop is important, and how it can help you take your career to the next level. If you’re not familiar with this, then an easy way to learn the basics and what Hadoop is all about is to do a simple Google search with a phrase like “how to learn Hadoop online”. When you do, don’t forget to come back and share useful information with our readers.
