Big Data is nothing but an assortment of such a huge and complex data that it becomes very tedious to capture, store, process, retrieve and analyze it with the help of on-hand database management tools or traditional data processing techniques.
Hadoop framework is written in java. It is designed to solve problems that involve analyzing large data (e.g. petabytes). The programming model is based on Google’s MapReduce. The infrastructure is based on Google’s Big Data and Distributed File System. Hadoop handles large files/data throughput and support data intensive distributed applications. Hadoop is scalable as more nodes can be easily added to it.
Project Name – BIN-17-099 – High Performance Distributed Computing Implements for BIG DATA using Hadoop Framework and running applications on large clusters under Containerized Docker Engine Deployed by DevOps – Super Computing with Operational Intelligence Tool – Splunk
Major Technology Involved – Big Data-Hadoop, Map Reduce, Sqoop, Hive, Pig, Hbase, ZooKeeper, ,HDFS , Distributed Computing,Container – Docker, Docker Cluster – Swarm, RedHat Linux Server, Security, Python and Socket Program, DevOps – Chef,Operational Intelligence Tool – Splunk
To know More about other Docker, Cloud Computing, DevOps, Splunk, Redhat Linux, Cloud, Internet of Things (IoT), Python projects : http://www.linuxworldindia.org/linuxworldindia-summer-industrial-training.php
Career Opportunities in Big Data Hadoop:
Hadoop Developer – A Hadoop Developer is responsible for coding and developing of all Hadoop-related applications. He / She possess knowledge of Core Java, Databases and Scripting Languages.
Hadoop Architect – A Hadoop Architect is in-charge of the complete planning and designing o big data system architectures. Such professionals handle the development of Hadoop application, along with their deployment.
Hadoop Tester – The role of a Hadoop Tester is to create a number of scenarios and gauge the effectiveness of the application and look for any bugs that might cause a hindrance in the proper functioning of the application.
Data Scientist – A Data Scientist possesses technical skills of a software programmer and analytical mind of an applied scientist, which help him to analyze humongous quantity of data and make intelligent.
Hadoop Administrator – A Hadoop Administrator nothing but a system Administrator in the world of Hadoop. Responsibilities of a Hadoop Administrator include maintenance, back-up, recovery and the setting up of Hadoop clusters as well.
Hadoop is a Fruitful career – The plain fact is that Hadoop training opens up a number of career opportunities for software professionals which can act as a good platform to start.
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