With huge amount of data generated by internet users and consumers every minute of the day, companies of all sizes are looking to organize this unstructured Big Data in a systematic manner to get insights and make informed decisions. One of the data management and computation platforms that is in great demand is Hadoop for the past few years. It is undergoing huge evolution and the demand seems to be only increasing. What this means to a job aspirant is that Hadoop skills could transform your career. Read on to understand why you need to learn Hadoop:
Reasons to learn Hadoop
Career progression: Hadoop has become synonymous with Big Data analytics and many companies have started using it. Typically Big Data solution not only has Hadoop but many other technologies. So apart from getting trained in Hadoop, it is good to know other Big Data technologies like Tableau, Hive, etc That will not only help you get a big picture but also a boost to your career. For example, Tableau certification can help data analysts work with multiple technologies rather than one single platform.
Top Job Profiles
There are numerous job opportunities in the Big Data and Hadoop Domain. Based on your interest and professional background you can opt for any of the below:
- Data Analyst
- Hadoop Developer
- Hadoop Consultant
- Hadoop Admin
- Data Engineer
- Big Data Architect
- Data Scientist
- Software Engineer
Suits Professionals from various Backgrounds
Big Data and Hadoop technologies have many tools and that means people from various skill sets and from different backgrounds can learn this skill. It suits people with Java, Python, or another programming language background. Professionals with scripting language skills or with RDBMS experience can also upskill to Big Data and Hadoop. Though anyone with a finance and technology background can easily understand the Hadoop tutorial. It suits the following professionals the most.
- Graduates with interest in Big Data
- Mainframe Engineers
- Testing Engineers
- Software Architects
- Software Developers
- DBAs and DB developers
- ETL and Data Warehouse Engineers
- BI and analytics professionals
Earn Good Pay
There can be no better reason to learn Hadoop than earning a good pay package. Due to the lack of skilled professionals in Big Data technologies, the average salary is much higher than that of other professionals. As per payscale.com, a Hadoop professional depending on the role earns anywhere from $93k to $127k per year.
Scarcity of Skilled Professionals
As mentioned earlier, every company small or large is using Big Data in their business due to which the job opportunities are humongous. But most of those are vacant as there is not much availability of professionals with Big Data and Hadoop skills. That implies it is a good time to learn those skills and move ahead in your career or start a bright career in Hadoop.
Big Data and Hadoop have been able to maintain a steady graph in the past few years. Additionally, Hadoop is tightly coupled with Big Data and since companies need Big Data to manage the huge chunks of data, it is not going out of trend anytime soon. So if you are worried if it is one of the ‘flashes in the pan’ technology then, it is not. It is going to be there as long as there is data and hence be rest assured Hadoop promises a bright future.
Now that you know why you should learn Hadoop, it is time to make the leap and start learning it, if you already haven’t!