ETL: The Assembly Line for Your Data
ETL (Extract, Transform, Load) is an assembly line for data, moving it from various sources into a single destination for analysis. It's used to populate data warehouses by combining data from databases, logs, and APIs into a unified view.
ETL (Extract, Transform, Load) is a data integration pattern that acts like an assembly line for information. It moves raw data from various sources, cleans and reshapes it, and loads it into a single destination for analysis. This process is the backbone of traditional business intelligence, used to populate data warehouses. The most common footgun is underestimating the 'Transform' step; real-world source data is often messy and requires significant effort to clean and standardize.
Read the original → Wikipedia: Extract, transform, load
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