Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be …

ETL—meaning extract, transform, load—is a data integration process that combines, cleans and organizes data from multiple sources into a single, consistent data set for storage in a data …

Extract, transform, load (ETL) is a data integration process that consolidates data from diverse sources into a unified data store. During the transformation phase, data is modified according to business …

Nov 6, 2025 · In short, the ETL process involves extracting raw data from various sources, transforming it into a clean format and loading it into a target system for analysis.

Apr 16, 2018 · Now named Electrical Testing Laboratories (ETL), they cover more than just light bulbs and are one of the fastest growing safety certifications servicing the U.S. and Canada.

Extract, transform, and load (ETL) is the process of combining data from multiple sources into a large, central repository called a data warehouse. ETL uses a set of business rules to clean and organize …

ETL is a three-step data integration process used to synthesize raw data from a data source to a data warehouse, data lake, or relational database. Data migrations and cloud data integrations are …