What does the acronym ETL stand for in data processing?

The acronym ETL in data processing stands for "Extract, Transform, Load." This process is fundamental in data warehousing and data integration because it defines how data is moved from various sources into a centralized structure for analysis and reporting.

In the extraction phase, data is sourced from different databases or systems, which may include structured or unstructured data. The transformation phase involves cleaning, enriching, or restructuring the data to ensure consistency and usability. This can include operations like filtering out unnecessary data, aggregating information, or changing data formats. Finally, in the loading phase, the transformed data is inserted into a target system, such as a data warehouse or data mart, where it can be accessed and analyzed by data analysts and business intelligence tools.

This structured approach ensures that the data is reliable and ready for analysis, making it crucial for organizations that rely on accurate insights for decision-making. Other options, while they might seem plausible, do not accurately represent the standard processes involved in data movement and transformation.