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💡 Não confunda Data Science com Data Engineering Data Science e Data Engineering têm focos diferentes! Engenharia de Dados: Construção de pipelines e infraestrutura para o dado. Ciência de Dados: Análise e criação de modelos preditivos. Ambas as funções se complementam, mas exigem habilidades distintas. #DataScience #DataEngineering #TechCareers
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💡 Dados são o maior custo em Machine Learning Sabia que preparar dados pode consumir até 80% do tempo em um projeto de Machine Learning? Engenheiros de dados e cientistas passam a maior parte do tempo limpando, organizando e estruturando dados para que modelos possam trabalhar. Ferramentas como dbt e Apache Spark ajudam a otimizar esse processo. #MachineLearning #DataEngineering #DataPreparation
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Você sabe o que realmente garante a integridade dos dados no seu banco de dados? No vídeo de hoje, eu te levo direto ao coração dos sistemas de banco de dados para entender o que está por trás da sigla ACID — os 4 pilares que mantêm seus dados seguros, consistentes e à prova de falhas. Atomicidade, Consistência, Isolamento e Durabilidade não são apenas conceitos técnicos. #ACID #BancoDeDados #DataEngineering #Atomicidade #Consistência
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