Developed by the Apache software foundation, Hadoop comes with software utilities which can be used to do research and open source development for free. All it needs is a license from the Apache after which the researchers and developers can use it freely. It is mainly used where large amounts of data and multiple computers are required to store the data and solve the computational problems. It has a MapReduce programming model that comes with its software framework to help with the division of the large size of data easily.
In complex designs and innovative research PhD research works, large chunks of data need to be evaluated which can consume more time than expected. In such cases Hadoop software utilities come to the rescue as it provides the following benefits.
The team of MK Consulting knows how to effectively use the Hadoop framework for your software implementation as the experts have a deep understanding of the modules provided by Apache Hadoop.
Hadoop CommonIt does not have the benefit of its own; however, it contains the libraries and utilities which are important for the other four modules.
Hadoop Distributed File System (HDFS)The distributed data in different machines is stored and handled by the help of this module providing an aggregated bandwidth across the different machines/computers included in the cluster.
Hadoop YARNThis is the module that handles the computational resources and tools for the data. It also helps the researchers in scheduling the applications created to carry forward the research.
Hadoop MapReduceThe MapReduce implementation helps in processing large sizes of data easily by dividing it and processing it in parallel.
Hadoop OzoneIt is like a storing tool that comes with the framework. The objects used for the different functions of this framework are stored in this module.
At MK Consulting, we suggest only the required processes and implementation ideas that help in modifying and enhancing the research quality for the scholars. The Hadoop framework has been developed with the goal of solving hardware issues that may arise during the course of an large-scale project and can harm the research. In a large scale PhD research thesis, it is often difficult to restart the work in case something goes wrong. Therefore, it is better to do it right at once and take the assistance from experts who know the basics.
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