5 Reasons why Java Professionals should learn Hadoop
Java is an open-source, platform independent, object-oriented programming language. It is used to develop a web application, website, programs, styles, and almost everything. And in order to move forward in the IT industry every Java professional can consider an array of options, but the most prominent ones are Data Science and Hadoop. You can find a number of online Data Science and Hadoop tutorials to get better insights into these technologies.
5 Reasons why I should learn Hadoop:
Due to recent advances in technology large amount of data called Big data, is being collected every single moment by various organizations, which cannot be stored and processed by the traditional data analysis tools such as RDBMS (Relational database Management System). To overcome this limitation Hadoop is emerging as an efficient tool that manages data processing and storage for big unstructured data applications and provides cost-effective and quick solutions.
1.Easy to Learn for Java Developers
Moving from Java to Hadoop is easy for Java professionals as compared to the software professionals in other domains. Hadoop is a Java-based programming framework, and the components of Hadoop- HDFS and MapReduce script is also written in Java itself. So to get a better, faster and good grasp of Hadoop one must be fluent in the Java language as they can learn Hadoop with more ease than others.
2.Explore Different Domains
As a Java Developer, you know tools and libraries like Weka, Java-ML which helps to solve Data Science problems and that can help you work in domains like Data science. Also by switching career from Java Developer to Hadoop and get the requisite experience in working in this field will help you explore different domains like Artificial Intelligence, Machine Learning.
3.The Enhanced Quality of Work
Moving from Java to Big data can be advantageous to enhance the quality of work as that it will assist you to deal with complex and bigger projects with much ease. Besides, it also gives you better scope to prove your skills and to establish yourself as a valuable resource.
4.To Stay Ahead of Competition
Moving from Java to Big data is beneficial for the Java Professionals as they will find it easier to understand the Hadoop framework and various modules in Hadoop and big data which makes them gain an edge over other professionals and also to be a step ahead of the growing competition.
5.Lucrative Packages for Hadoop Professionals
Hadoop skills are in demand and hence it is imperative for IT professionals to keep themselves updated with Hadoop and Big data technology. Hence moving from Java to Big data and Hadoop will increase their chances to have a good career opportunity along with better salary package, and also a chance to work with top companies such as IBM, Facebook, Twitter, Yahoo, and Amazon than that of those Java software developers.
Hence, when comparing Java vs Big data, Big data Hadoop can prove to be the most rewarding career path for Java developers. Joining a good Hadooptutorialwill help you master Hadoop skills to lead a successful career.
Java Developer to Data Scientist
In the world of Big data, the interpretation of vast amounts of unstructured data for effective decision making became too complex and time-consuming, this led to the emergence of data science. A data scientist collects, analyzes and interprets large volumes of data to help a company improve its operations. Data Science is one of the most-sought-after profession in IT these days. Switching a career from Java Developer to Data scientist is easy as Java Developers who are comfortable working in Hadoop tend to have good knowledge of concepts of data science applications.