Introduction to HADOOP distributed File System

HADOOP distributed File System, Hadoop is software framework that is mainly used to process Big data simultaneously across many server systems.
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LOS GATOS, Calif. - Dec. 21, 2015 - PRLog -- With the spread of cloud computing and network technology and equipment in recent few years, a Big data collected in a big or small enterprices or variety of social situations have been accumulated, and so the need for analysis 2012 International Journal of Electronic Commerce Studies techniques to take advantage of useful information that can be extracted from such data sets is increasing.

This is also true for video data, and enterprices large data sets, in which images are sequential and the data includes the associated time and frame information of each frame. Today, because video cameras are set up to perform surveillance of moving objects such as pedestrians and vehicles, a large amount of video data is generated, and stored in database form. On a social media sites every day in every minut people uploading the data in the form of image, videos and content, To improve these database systems, which hold a large amount of Data, parallel processing using CPUs and disks at multiple sites is an important area of research.

Also, when considering operations such as search and other types of analysis data there are limits on what can be done to improve the performance of single computers to make them able to process large-scale information. Therefore, the advantages of parallel distributed processing of a Big database by using the computational resources of a cloud computing environment should be considered. In addition, if computational resources can be secured easily and relatively inexpensively, then cloud computing is suitable for handling large databases at low cost.

Hadoop, as a mechanism for processing large numbers of databases by parallel and distributed computing has been recognized as promising. Nowadays, for reasons such as ease of programming, by using the function MapReduce on the Hadoop system, OLAP on Hadoop system, systems that can process data across multiple machines in a distributed environment have been studied for their application to various database operations. In fact, Hadoop is in use all over the world.

Hadoop is software framework that is mainly used to process Big data simultaneously across many server systems. In the recent few years, it has turned out to be one of most good option for compnies, which has the never-ending requirement to save and manage Large data sets. Web based businesses such as flipkart, Amazon, eBay, and Yahoo , facebook have used Hadoop applications to manage their Bigdata. These days Hadoop is relevant to both small organizations as well as big enterprices.

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Tags:Olap On Hadoop, Cubes On Hadoop, Hadoop analytics
Industry:Services
Location:Los Gatos - California - United States
Subject:Projects
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