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 ...
If you're looking for a way to become $10,000 richer, killing pythons may be it. The 2024 Florida Python Challenge hunt is happening soon. Here are important things to know about the annual snake hunt ...
HuggingFace Researchers introduce Quanto to address the challenge of optimizing deep learning models for deployment on resource-constrained devices, such as mobile phones and embedded systems. Instead ...
The concentrated connection of arable land is one of the important indicators reflecting the quality of cultivated land, and large-scale arable land blocks are more conducive to agricultural ...
ABSTRACT: The rapid advancement in technology and the increased number of web applications with very short turnaround time caused an increased need for protection from vulnerabilities that grew due to ...
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, ...
Abstract: The MapReduce parallel programming model is designed for large-scale data processing, but its benefits, such as fault tolerance and automatic message routing, are also helpful for ...
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