Proyecto de procesamiento distribuido que analiza datos meteorológicos de Medellín (2023-2024) usando MapReduce en Hadoop. Calcula temperatura promedio y precipitación total por mes.
Abstract: MapReduce is one of the most classic and powerful parallel computing models in the field of big data. It is still active in the big data system ecosystem and is currently evolving towards ...
Blind Interference Alignment for MapReduce: Exploiting Side-Information With Reconfigurable Antennas
Abstract: In order to explore how blind interference alignment (BIA) schemes may take advantage of side-information in computation tasks, we study the degrees of freedom (DoF) of a K user wireless ...
Pulled 10GB ofYelp Business data through the terminal via Kaggle API. The data was then pushed to and AWS S3 Bucket bucket for storage and analyzed on a Elastic MapReduce Cluster on a Jupyter Notebook ...
Singapore-based startup, Percipient, has developed a way to sidestep a common Hadoop big data function, thereby shortening query processing time by more than 15 times. Hadoop is an open source ...
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