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This project aims to predict smartphone prices using a combination of batch and stream processing techniques in a Big Data environment. The architecture follows the Lambda Architecture pattern, providing both real-time and batch processing capabilities to users.
Building a next-generation hybrid data pipeline architecture that combines the power of Microsoft Fabric, Azure Cloud, and Power BI. This pipeline is engineered to tackle the challenges of real-time data ingestion, multi-layered processing, and analytics, delivering business-critical insights.
Trabalho da faculdade de Tópicos de Big Data em Python, o código é especificamente para ler a planilha de Unidades Federativas do Brasil em Estado de Insegurança Alimentar.
Sistema de streaming para predecir la probabilidad de wipe usando LSTM en GPU, demostrando la arquitectura event-driven escalable a entornos de producción distribuidos.