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 …

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.

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, 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 …

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 …

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 stands for Extract, Transform, Load, and it refers to the process of collecting, transforming, and loading data from various sources into a target database or data warehouse.

2 days ago · ETL automation explained. Learn how ETL automation works, see real use cases, and explore tools that help you move and transform data at scale.

Take the complexity out of configuring, managing and orchestrating ETL pipelines. This O’Reilly technical guide will get you started.