Big-data management using map reduce on cloud : case study, EEG images' data

Abstract EN

Database is characterized as an arrangement of data that is sorted out and disseminated in a way that allows the client to get to the data being put away in a simple and more helpful way methods of data analytics may not be able to manage and process the large amount of data.

In order to develop an efficient way of handling big-data, this work studies t the cloud.

This approach was evaluated using Hadoop server and applied on EEG Big proposed approach showed clear enhancement reduction on response time.

The obtained results provide EEG researchers and specialist with an easy and fast method of handling the EEG big data.

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