How Training In Hadoop Technology Would Help You To Improve Your Career Prospects?

In a recent survey, a group of people was asked what according to them the biggest invention on modern science was. If you are thinking about computers, well then you are in sync with almost 70% of the respondents. When the computer was initially designed by IBM, it practically required a truck for transportation and had memory capacity of only 1 MB. Today, you practically carry gigabytes of data in a small phone that is no bigger than the size of a normal postcard.

Indeed we all have come a long way since the early 1970’s. Since 2003 to 2016, the amount of data that we have used and processed is around 5 billion GB! Assimilating and then retrieving information from this huge pool of data is a tough task which demands an  open source framework for distributed storage and processing of large sets of data on commodity hardware. That is where Hadoop comes as a rescuer.

What are the Benefits of Using Hadoop?

Hadoop is an open source software framework for running application in clusters and for storing data in a software framework. So why should you use Hadoop?  The answer to this question lies in the fact that Hadoop has an incredible capacity of storing and processing data. Secondly it has high level of fault tolerance capacity for any hardware malfunction. Unlike traditional database, you are no longer required to prepare a data base for storing information. You use this instructed data latter as per your convenience. Above all Hadoop is extremely cost efficient which perhaps best justifies the reason behind its soaring popularity.

This brings us to the important question of how training in Hadoop technology would help you to improve your career prospects.  In order to answer we have listed down five major fields of job roles where training in Hadoop is a must-have thing.

Hadoop Developer

A job of a Hadoop Developer is not very different from that of any normal developer except for the fact that he deals in Hadoop technology. Anyone who aspires to work in this position should have a basic understand of the technology and its various concepts like how to manage Hadoop files and various other jobs using scheduler. He should have enough knowledge and understanding to explain the concept and its various advantages to the customers

The basic requirements for the job of a Hadoop developers includes hands on experience with Havel, familiarity with data loading tools and knowledge about writing Pig Latin scripts.

Hadoop Architect

The job of a Hadoop Architect is to address specific problems related to this field. His main job would be to describe the structure and behavior of the Hadoop technology which can be beneficial for a large organization. His main job would demand him to create a requirement analysis and then design the technical architecture for testing and developing the proposed solution.

This position is meant for someone who has at least 15 years of experience in this domain. Specific working experience in Big Data Technologies like Map Reduce, HBase, MongoDB and Hive would give him an edge over other candidates in this position.

Hadoop Tester

Again there is no surprise waiting in the job profile of a Hadoop Tester. Like any other software tester, his job is to find the problems and bugs in the program and make the application fool proof enough to work in every scenario. His main job is to report problems to the manager and consolidate all the problems so that they can be solved easily. Like his contemporaries working in this domain, a Hadoop tester also should have working knowledge about Hive, Pig, MRUnit framework and MapReduce jobs

Hadoop Architect

If you are aware of the jobs of a System admin in the normal software firm, the job description of a Hadoop architect would be very clear to you. Just like a system administrator a Hadoop architect is responsible for recovery and maintenance of the entire administration.

This job demands that the person responsible for conducting it has a good understanding of the entire architecture framework for which he should have a good knowledge in Linux environment and hands on knowledge about Oozie, HCatalog, Hive technologies.

Data Scientist

Well, we have saved the best for the last. The job of a Hadoop data scientist is both interesting and intriguing. He gets to do the best job in the lot. He is primarily responsible for solving real world customer centric problems. In order to do so, data scientists are required to take help of different technologies and then use then to reach a logical conclusion.

In order to be a part of a team that requires such diverse knowledge and deep thinking, a data scientist needs to have very good understanding of data manipulation and data analytics. Additional knowledge in data science, SAS, SPSS is also considered to be very helpful.