data engineering
[/ˈdeɪtə ˌɛndʒɪˈnɪrɪŋ/]
noun
engenharia de dados
1. The practice of designing, building, and maintaining systems and infrastructure for collecting, storing, processing, and managing large volumes of data efficiently and reliably
Data engineering is essential for companies that need to handle big data and real-time analytics.
A engenharia de dados é essencial para empresas que precisam gerenciar grandes volumes de dados e análises em tempo real.
2. The discipline that combines software engineering principles with data management to create data pipelines and ETL processes
Our data engineering team built a robust pipeline to integrate data from multiple sources.
Nossa equipe de engenharia de dados construiu um pipeline robusto para integrar dados de múltiplas fontes.
3. The technical work of preparing and transforming raw data into formats suitable for analysis and business intelligence
Data engineering involves data cleaning, validation, and optimization for downstream analytics.
A engenharia de dados envolve limpeza, validação e otimização de dados para análises posteriores.
Data engineering has become a highly valued profession in both the USA and Brazil, particularly in tech hubs like São Paulo and Rio de Janeiro. The term is used consistently across Portuguese-speaking regions and is often part of job titles in major tech companies. In Brazil, data engineering roles are increasingly in demand as companies undergo digital transformation and invest in data-driven decision making.
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