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. …

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 …

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.

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 …

May 8, 2025 · ETL (extract, transform, load) is the process that brings it all together. It pulls raw data from various systems, cleans it up, and moves it into a central location so teams can …

Nov 6, 2025 · Learn how the ETL process works, where it fits in your data warehouse, and how it helps with reporting and analysis.

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

ETL is the process of moving data from multiple sources, cleaning and standardizing it, then loading it into a destination system for analysis—forming the backbone of most business …

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.