Hadoop

The demand for Hadoop professionals is increasing due to companies inclining towards Big Data. The basic job of a Hadoop professional is to analyse Big Data and extract meaningful information out of it. Hadoop has a special ability that allows its users to store all sets of data in a distributed way. This method allows you to store a large amount of data efficiently and hence make the analysing process more flexible.

Some of the major roles and responsibilities of Hadoop professionals include the following:

• Responsible for the documentation, design, development, and architecture of Hadoop applications

• Handling the installation, configuration, and supporting of Hadoop

• Write MapReduce coding for Hadoop clusters

• Design web applications for querying data 

• Converting hard and complex techniques into detailed designs

• Performing testing of software prototypes and transfer to the operational team

• Maintaining data security and privacy

• Perform analysis of a large amount of data stores and derive insights

• Software Professionals

• Analytics Professionals

• ETL developers

• Project Managers

• Architects

• Testing Professionals

• Analytical skills

• Communication skills

• Critical thinking

• Detail-oriented

• SQL

• NoSQL

• Hadoop architect

• Hadoop administrator

• Hadoop tester

• Learning Big Data

• Apache Hadoop

• Learning HDFS

• MapReduce

• Learning YARN

• Pig

• Learning Hbase

• Sqoop and Flume

• Learning Hive

• Workflow

• Learning Hadoop Cluster Management

• Administration

• Security

• Learning NextGen Hadoop