Abstract: The execution of MapReduce (MR) applications in Hadoop cluster poses significant challenges due to the non consideration of 1. Grouping semantics in Data-intensive applications, 2.
Proyecto de procesamiento distribuido que analiza datos meteorológicos de Medellín (2023-2024) usando MapReduce en Hadoop. Calcula temperatura promedio y precipitación total por mes.
This project implements a pipeline for ingesting images, performing real-time object detection, storing raw metadata, aggregating results using Hadoop MapReduce, indexing the aggregated data into ...
Abstract: MapReduce is a very popular programming model used to handle large datasets in enterprise data centers and clouds. Although various implementations of MapReduce exist, Hadoop MapReduce is ...
MapReduce developers face a steep learning curve when first deploying and configuring a Hadoop cluster and later when verifying program correctness. Compounded by long execution times (measured in ...
Reporting and analysis drives businesses in making the best possible decisions. The source of all these decisions is the data. There are two types of data: structured and unstructured. Most recently, ...
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