data partitioning
[/ˈdeɪtə pɑːrˈtɪʃənɪŋ/]
noun
particionamento de dados
1. A database and data management technique that divides large datasets into smaller, more manageable segments or partitions based on specific criteria
Data partitioning improves query performance by allowing the database to access only relevant partitions.
O particionamento de dados melhora o desempenho das consultas ao permitir que o banco de dados acesse apenas as partições relevantes.
2. The process of distributing data across multiple storage systems or servers to enhance scalability and performance
The company implemented data partitioning to handle their rapidly growing dataset.
A empresa implementou particionamento de dados para lidar com seu conjunto de dados em rápido crescimento.
3. A strategy in distributed systems that splits data horizontally or vertically to optimize processing and storage
Horizontal data partitioning separates records into different tables based on range or key values.
O particionamento horizontal de dados separa registros em diferentes tabelas com base em valores de intervalo ou chave.
Data partitioning is a critical concept in modern software engineering and is heavily emphasized in both Brazilian and American tech industries. In Brazil, the term 'particionamento de dados' is widely used in academic and professional settings, particularly in São Paulo's thriving tech sector. The concept is essential for companies dealing with big data, cloud computing, and distributed systems. Understanding this term is fundamental for software engineers, database administrators, and data scientists working in tech companies or financial institutions in both countries.
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