7  Reasons Why Java Developers Should Learn Hadoop

Java was considered to be the most popular programming language and every expert of technology wanted to prowess this. However, with the technological advancement and the evolution of Big Data, we needed those frameworks that can handle the Big Data along with the technical difficulties that come along with it. One of these frameworks is Hadoop which is more competitive and opens a stream of opportunities for professionals as well as the beginners.

Good news for the ambitious Hadoop developers that the industry of Big Data is exceeding the mark of $50 Billion. Out of the 720 countries, about 64% of them are interested in investing in this new-found technology. To make the importance of Big Data Hadoop, look at the stats mentioned below:

  • Forrester said that Java Developers will be the most accurate replacement for the incorporation of Hadoop Professionals in the organization.
  • Analytics Industry Report states that the pay hike of Hadoop Developers will exceed by 250% as compared to the Java Developers.
  • The industry of Big Data is developing at a faster pace and it has exceeded to grow %43.4 which is reported by IDC.

Why is Hadoop So Special?

The traditional frameworks and systems are incapable of using such large bulk of data but Hadoop provides the cheapest, fastest, smartest, and improved ways to process and store the data. That is why, there is a large demand for Hadoop in the corporate sector, government organizations, online marketing agencies, hospitals, financial services, universities, etc.

Reasons Why Java Developers Should Learn Hadoop

Now, let's look at some of the reasons why Java developers should learn Hadoop and master the skills of this programming language.

  1. Java Developers can Easily Learn Hadoop

Hadoop can be easily mastered by Java Developers because Hadoop is scripted in the language of Java itself. Thus, learning Hadoop can be a piece of cake for the professionals because they already have the basic knowledge of Java. The professionals can use their skills of Java to debug the apps of Hadoop along with commanding several tools.

  1. Hadoop is Competitive

When a Java developer walks in a stream of people, nobody will notice him/her but when a Hadoop Developer walks in the same crowd, everybody will refer to him as a leader. This is because the Big Data Hadoop is considered to be a buzzword in the entire globe and several firms are looking forward to having such professionals. The services offered by the Hadoop Developers are certainly unparalleled which makes them quite competitive in the field. Moreover, the market of Hadoop has been estimated to grow by 43.4% in the year 2021 exceeding the mark of $40.69 Billion.

  1. Dive into Higher Purviews

You will not just stop at Hadoop and Big Data because it can open opportunities in several other fields such as; Data Science, Machine Learning, Senior Web Data, and Artificial Intelligence. These markets are emerging in the tech world and it is estimated that these fields will dominate the entire world in the near future. Thus, by acquiring Big Data Hadoop you can dive into higher purviews and land on a job at all those organizations that are currently dependent upon data such as Facebook, eBay, Twitter, Amazon, and IBM.

  1. Bigger Salary Packages

Being a Hadoop Developer can help you financially by enabling you to have improved career opportunities. The average salary of the Hadoop Developer is $140,000 annually with the experience of 1-2 years. However, as you go forward and continue to increase your experience in this domain, you can even earn more than $400,000+ salary as a Hadoop Professional.

Enroll in our Hadoop Certification to launch your career and get a big start!

  1. Enhanced Work Quality

By switching from being a Java Developer to Hadoop, you will broaden your state of mind as well as your quality of work. This is because Hadoop introduces new sets of projects, tricky systems, and complex networks that require critical thinking and analysis. A Hadoop Developer makes use of all the innovative and conventional techniques to deliver efficient results which results in the betterment of the entire organization.

  1. Increased Demand of Hadoop Developers

The emergence of Big Data has alarmed the entire world about the prevailing menace and outbursts of a large amount of data. Therefore, all organizations whether small, medium, or large, are making use of Hadoop Developers instead of the traditional Java Developers because of their enhanced skill set and training to tackle any discrepancies that may follow. Hadoop is not just connected to Big Data but it also enhances the efficiency of the connected networks and networks, thereby; increasing the output.

  1. Hadoop Professionals are More Trained

Java Developers have been trained to tackle the little discrepancies in the past but with the revolution of the data, the techniques used by them proved ineffective. The advancement in technology requires advanced professionals who have authentic training in the given field. Hadoop professionals have all the right training to block all the attacks and improve the already existing systems and networks.

Conclusion

Big Data Hadoop is being used in all the industries, from Fraud Detection in the corporations to Social Media Analysis, it can boost your career and notch it up to another level. If you want to get familiar with the basics of Hadoop and want to acquire the skilled training then you must look up Hadoop Certification which will provide you with all the necessary dexterity and training to become a professional Hadoop expert.