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. …

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 …

What is ETL? 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 …

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 …

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 …

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.

ETL stands for extract, transform, and load and is a traditionally accepted way for organizations to combine data from multiple systems into a single database, data store, data warehouse, or data...

ETL is a type of data integration that refers to the three steps (extract, transform, load) used to blend data from multiple sources. It's often used to build a data warehouse.

ETL, ELT, and Reverse ETL explained simply with real-world examples. Learn when to use each and how modern data pipelines really work.

What is ETL? ETL stands for “Extract, Transform, and Load” and describes the set of processes to extract data from one system, transform it, and load it into a target repository.