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 …

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 …

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 for storage in a …

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 …

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 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 …

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 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 intelligence and data …

ETL, short for Extract, Transform, Load, is the foundation of modern data integration. It’s the process of gathering data from multiple systems, cleaning and reshaping it, and loading it into a centralized …