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 more advanced than 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 user discussion forums or seen your senior Online Tutorial fellow workers after switching to get bigger paydays. I'll tell you what, the upgrade from Java to Hadoop is not just about staying updated with the latest technology or getting evaluations : it's about being competent and putting your career on the junior high gear.
The good news for the 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 is not convincing, then take a look at these numbers:
1. According to an IDC report, the Big Data industry is growing at the rate of 31. 7% each year.
2. Java developers are seen as the best replacement option for Hadoop developers, says Forrester.
3. Hadoop developers enjoy a mighty 250% pay walk than Java developers, as stated in an Analytics Industry Report.
What's special about Hadoop?
Unlike the traditional directories which wasn't capable of dealing with large amounts of data, Hadoop offers the simplest, cheapest, and cleverest way to store and process giant amounts of data : and this is why why it is so popular among big companies, government organizations, doctor's offices or restaurants, 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 and that is certainly where bigger 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 as you because the MapReduce software used in the Hadoop is actually written in Java itself. Awesome, isn't it?
Your Java skills comes into play handy when debugging Hadoop apps and employing Pig (programming tool) Latin instructions.
2. Helps 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 known 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 can be picked by big companies for high salary packages. All you have to do is attend a big data hadoop online training curriculum and learn the concepts from an expert.
3. Scope To move Into Bigger Areas
Fortunately for you, the trail doesn't end with Hadoop and MapReduce. There is always the golden possibility for use your Hadoop skills and expertise to move into higher levels such as Artificial Brains, Data Science, Sensor Web data, and Machine Learning. These are emerging markets, and you'll see them dominate a next 4-5 years. Good knowledge in Big Data and Hadoop could boost your possibilities 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 yearly in the united states. However, as you gain experience and turn into a senior Hadoop developer, you will be able to have a good $400, 000+ salary.
5. A greater Quality Of Work
Learning Big Data Hadoop can be highly beneficial because it will help you deal with bigger, complex projects much easier and deliver better output than your fellow workers. So that they are considered for evaluations, you need to be someone who can really make a difference in the team, and 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% each year, you have a great possibility for upgrade your knowledge and skills and grow with the industry.
Big Data and Hadoop are trusted in applications such as IT log analytics, Fraud recognition, Social media analysis, and Call middle 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 may get take your career to another location level. If you do not know this, then an easy way to learn the basics and know what Hadoop is all about is to execute a simple Google search on a phrase like "how to learn hadoop online". When you do, please be sure and come back and share some useful information with your readers.
No comments:
Post a Comment