Big Data and Hadoop Developer - Sphinx WorldBiz Limited
Posted by Sonaliiiii on October 21st, 2019
Big Data is nothing but a concept which facilitates handling of a large number of data sets. Hadoop is just a single framework out of dozens of tools. Hadoop is primarily used for batch processing. The difference between big data and the open source software Hadoop is a distinct and fundamental one.
Big Data is a concept, more like an enabler for business transformation in terms of the huge volume and variety of datasets available. Hadoop is a technology infrastructure for storing, managing and analyzing this huge amount of data.
A Hadoop developer is responsible for the actual coding/programming of Hadoop applications. This role is synonymous with software developer or application developer; refers to the same role but in the Big Data domain. One component of Hadoop is MapReduce where you need to write Java programs. So, if you have basic knowledge of Java it should suffice. But, if you don't have knowledge of Java, but have knowledge of any other programming language, you can quickly catch up.
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An Hadoop administrator is responsible for implementation and ongoing administration of Hadoop infrastructure.The role requires coordinating with the systems engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments.
Requires working with data delivery teams to setup new Hadoop users. This job includes setting up Linux, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users. Cluster maintenance as well as creation and removal of nodes using tools like Ganglia, Nagios, Cloudera Manager Enterprise, Dell Open Manage and other tools.
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