Hadoop is basically a collection of open-source software utilities which is used in solving data and computation related problems. It is scalable, inexpensive, and helps the businesses to push their growth curves even in the establishment years. Efficient enough to deal with the handling errors like node loss, this software utility doesn't demand a pre-defined schematic approach to work. Hadoop framework is also appreciated for its capacity to store data from multiple sources and formats. To become a Hadoop Developer, a professional needs to have a bachelors or a master's degree in Computer Science. He/she should know programming languages such as Java, Python, JavaScript, and NodeJS, and have a strong grip on the SQL basics and Distributed systems. This open-source framework is highly beneficial for the Java developers, and it is our topic of discussion today.
Hadoop Developer Training helps the participants with distributed storage and big data processing using the MapReduce programming model. It is designed for the developers who wish to learn the process of writing and optimizing Apache Hadoop codes. Nevertheless, the Apache Hadoop framework base is composed of Hadoop Common, Hadoop Distributed File System, Hadoop YARN, and Hadoop MapReduce. In its successful completion, you will learn how to configure different configurations of Hadoop cluster, how to describe the concepts of Apache Hadoop, Hadoop Ecosystem, MapReduce, and HDFS, how to deal with Develop, debug, and implement the MapReduce applications in the organization, and how to monitor Hadoop cluster by considering the optimal hardware and networking settings.
The Hadoop market is growing rapidly, and it is ready to grow with a compound annual growth rate of 43.4%, which is likely to cross $40 billion by 2021. So, it is the best time for the development professionals to switch their career tracks. The Hadoop framework is entirely written in Java. So, it won't be a difficult job for the Java developers to learn the modules of Hadoop. A Java developer can expect a better profile and higher salary package after switching the career track. We suggest for opting Hadoop MapReduce script because it is fully written in Java. Pursuing the
Hadoop Dev course will prepare the development professionals in improving their work efficiency and dealing with the complex projects.
Software developers, software architects, analytics professionals, data management professionals, business intelligence professionals, project managers, and aspiring data scientists who are looking for a career in Big Data Analytics are eligible for this course. After pursuing this training, a professional can apply for a number of jobs, such as Hadoop Application Developer, Hadoop Developer, Hadoop Developer Consultant, Hadoop Analyst, Hadoop Architect, Hadoop Administrator, Big Data Developer, Senior Teradata Edw Architect, Hadoop Engineer, Front Office Quantitative Developer, Post Sales Engineer, Backend Software Engineer, Big Data Architect, Java Software Engineer Architect, and Senior Data Engineer.
About the Author: Rajib Kar is a technical content developer at Multisoft Systems. This IT professional loves to write about the recent developments and future trends of corporate training.