data preparation
[ˈdeɪtə ˌprɛpəˈreɪʃən]
nounfemininepl: data preparations / preparações de dados
preparação de dados
1. The process of cleaning, transforming, and organizing raw data into a format suitable for analysis or machine learning
Data preparation is the most time-consuming phase of any data science project.
A preparação de dados é a fase mais demorada de qualquer projeto de ciência de dados.
2. The collection of techniques used to detect and correct errors, handle missing values, and standardize datasets
Our data preparation involved removing duplicates and filling in missing values.
Nossa preparação de dados envolveu remover duplicatas e preencher valores ausentes.
3. In data warehousing, the process of extracting and loading data from various sources into a structured database
Data preparation ensures that all information is consistent before being loaded into the data warehouse.
A preparação de dados garante que todas as informações sejam consistentes antes de serem carregadas no data warehouse.
Data preparation is a critical concept in the Brazilian tech industry, particularly in São Paulo's growing data science and analytics sectors. The term is widely used in both English and Portuguese in Brazilian tech companies. In the United States, particularly in NYC tech hubs, this process is often referred to colloquially as 'data wrangling' or 'data munging,' reflecting the practical, hands-on nature of the work. The importance of this phase has grown significantly with the rise of big data and artificial intelligence initiatives in both markets.
Related Idioms & Phrases
garbage in, garbage out (GIGO) - emphasizing the importance of data quality in preparation
getting your data house in order - organizing and preparing data properly
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