The project is a comprehensive exploration of how MapReduce and the Aggregation Pipeline within MongoDB can be harnessed for processing and analyzing substantial datasets. It encompasses various ...

Data Preprocessing: Utilize PySpark to preprocess a large text corpus, including steps such as tokenization, stemming, and stop word removal. Ensure the dataset corresponds to a classification problem ...

Data-driven neuroscience research is providing new insights in progression of neurological disorders and supporting the development of improved treatment approaches. However, the volume, velocity, and ...

Abstract: The need to improve the scalability of Genetic Algorithms (GAs) has motivated the research on Parallel Genetic Algorithms (PGAs), and different technologies and approaches have been used.

Abstract: MapReduce is one of the most widely used programming models for analyzing large-scale datasets. In recent years, serverless computing, especially Function-as-a-Service (FaaS), has received a ...

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This paper introduces MapReduce as a distributed data processing model using open source Hadoop framework for manipulating large volume of data. The huge volume of data in the modern world, ...

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