dataomvormingstechnieken
Data transformation, sometimes referred to as dataomvorming in Dutch, is the process of converting data from one format, structure, or meaning to another to enable analysis, storage, or integration. It is a core activity in data engineering and data workflows, and it can occur within data pipelines, data warehouses, or data lakes.
Core transformations include cleaning (handling missing values, correcting errors, and dealing with outliers), normalization and type
Two principal process models are ETL (extract, transform, load) and ELT (extract, load, transform). In ETL, transformation
Applications span data warehousing, business intelligence, analytics, and preprocessing steps for machine learning, including feature engineering.