Imagine there are two girls standing 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-so-impressive... no completely different from the ones that you usually see in the restaurant cash counter. Which girl will you call out for a date? If you're like me, you will choose the attractive girl. You see, life is full of options and making the right choice is what matters the most.
If you're a Java developer, then you probably have an overabundance choices to make - like the switch from Java to Hadoop.
Big data and Hadoop are the two most popular buzzwords in the industry. Chances are that you have come across these two terms on the Java payscale boards or seen your senior Online Tutorial mates making the switch to get bigger cash. I'll tell you what, the upgrade from Java to Hadoop is not just about staying updated with the latest technology or getting inspections - it's about being competent and putting your career on the sixth gear.
The good news those aspiring Hadoop developers is that, the Big Data industry has recently surpassed the $50 thousand dollar mark and over 64% of the top 720 companies worldwide are interesting to buy this forward-thinking technology as revealed by Gartner in 2013.
If that's not convincing, then take a look at these stats:
1. According to an IDC report, the Big Data industry is growing at the rate of 31. 7% annually.
2. Java developers are seen as the best replacement option for Hadoop developers, says Forrester.
3. Hadoop developers enjoy a mighty 250% pay hike than Java developers, as stated in an Analytics Industry Report.
What's special about Hadoop?
Unlike the traditional sources which weren't capable of dealing with large databases of data, Hadoop offers the speediest, cheapest, and brightest way to store and process giant databases of data - and that's the reason why it is so popular among big businesses, government organizations, hostipal wards, universities, financial services, online marketing agencies, etc. The best way to familiarize with the language is to check out a beginner's big data hadoop course online.
Okay, now let's 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 courts because the surface suits him well that is certainly where she has been most successful. Similarly, any Java developer would love Hadoop because it's completely written in Java - a language that you are already so familiar with. Switching from Java to Hadoop is a cake-walk for professionals like your story because the MapReduce script used in the Hadoop is actually written in Java itself. Awesome, isn't it?
Your Java skills will come in handy when debugging Hadoop apps and employing Pig (programming tool) Latin directions.
2. Allows you Stay Ahead of Your rivals
If you are a Java professional, you are just seen as a person in the crowd. But, if you are a Hadoop developer, you are seen as 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 have to do is attend a big data hadoop online training program and learn the concepts from an expert.
3. Scope To move Into Bigger Website names
Fortunately for you, the road doesn't end with Hadoop and MapReduce. There is always the golden possiblity to use your Hadoop skills and expertise to move into higher levels such as Artificial Intellect, Data Science, Sensor Web data, and Machine Learning. These are emerging markets, and you'll see them dominate the industry in the next 4-5 years. Good knowledge in Big Data and Hadoop could boost your probability of getting into some of the bigger Big Data-dependent companies 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 that your wife would like 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 annum in the united states. However, as you gain experience and be accepted as a senior Hadoop developer, you will be able to generate a good $400, 000+ salary.
5. A much better Quality Of Work
Learning Big Data Hadoop can be highly beneficial because it will assist you to deal with bigger, complex projects much easier and deliver better output than your mates. For being considered for inspections, you need to be someone who can change lives in the team, that is certainly what Hadoop lets you to be.
6. Grow With the Industry
With IDC guessing that the Big Data and Hadoop user base (big companies and government organizations) is likely to increase at 27% annually, you have a great possiblity to upgrade your knowledge and skills and grow with the industry.
Big Data and Hadoop are traditional in applications such as IT log analytics, Fraud diagnosis, Social media analysis, and Call centre analytics - and learning a big data hadoop tutorial online could be the way to kick-start your Hadoop career right away. Once you do that, you will find that staying updated with the latest technology will be a lot easier and getting into top organizations will never be 'just a dream' - it will be a reality.
That's about it, folks! These are some rock-solid reasons why learning Hadoop is important and how it will help take your career to another location level. If you are not familiar with this, then an easy way to learn the basics and know what Hadoop is all about is to join in a simple Google search on a phrase like "how to learn hadoop online". When you do, please remember to come back and share some useful information with readers.
