Verifying Properties of MapReduce-Based Big Data Processing
Original price was: Rs6,500.00.Rs5,500.00Current price is: Rs5,500.00.
PROJ20133 |
Description
Nowadays we all are surrounded by Big data. MapReduce is a simple programming model for enabling distributed computations, including data processing on very large input datasets, in a highly scalable and fault-tolerant way. An infectious diseases is an important problem in various country, such as no of patients affected, lower affected, higher affected detection. In our process, the system is developed to large amount of data into compress small amount of data by using the MapReduce concept. We split the infectious disease dataset as input data splitting by 4 splitting set for compressing data. And we mapping the four split dataset for disease and cases by total. And we shuffle the mapped dataset based similar data of disease. Finally we can reduce the shuffled dataset and count the no of cases affected by that particular disease. The system is to map and reduce the big data processing.
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