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 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 more 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 forums or seen your senior colleagues making the switch to get
bigger paychecks. I'll tell you what, the upgrade from Java to Hadoop is
not just about staying updated with the latest technology or getting
appraisals - it's about being competent and putting your career on the
fifth gear.
The good news for all the aspiring Hadoop developers
is that, the Big Data industry has already crossed the $50 billion
dollar mark and over 64% of the top 720 companies worldwide are
interesting to invest in 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% 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 hike than Java developers, as stated in an Analytics Industry Report.
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 databases which weren't capable of dealing with large
volumes of data, Hadoop offers the quickest, cheapest, and smartest way
to store and process giant volumes of data - and that's the reason why
it is so popular among big corporations, government organizations,
hospitals, universities, financial services, marketing agencies,
etc. The best way to familiarize with the language is to check out a
beginner's big data hadoop course.
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 because the surface
suits him well and that's where he 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 you 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 commands.
2. Helps You To Stay Ahead Of Your Competition
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 training program and learn the concepts
from an expert.
3. Scope To Move Into Bigger Domains
Fortunately
for you, the road doesn't end with Hadoop and MapReduce. There is
always the golden opportunity 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 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 chances 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 become a senior Hadoop developer, you will be able to make a good
$400,000+ salary.
5. An Improved Quality Of Work
Learning
Big Data Hadoop can be highly beneficial because it will help you to
deal with bigger, complex projects much easier and deliver better output
than your colleagues. In order to be considered for appraisals, you
need to be someone who can make a difference in the team, and that's
what Hadoop lets you to be.
6. Grow With The Industry
With
IDC predicting that the Big Data and Hadoop user base (big companies
and government organizations) is likely to increase at 27% per year, you
have a great opportunity to upgrade 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
analysis, and Call centre analytics - and learning a big data hadoop tutorial
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 can help take your career to the next level
