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wikipedia.org
https://en.wikipedia.org/wiki/Extract,_transform,_…
Extract, transform, load - Wikipedia
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 collected from one or more sources and it can also be output to one or more destinations.
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ibm.com
https://www.ibm.com/think/topics/etl
What is ETL (extract, transform, load)? - IBM
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 data warehouse, data lake or other target system.
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geeksforgeeks.org
https://www.geeksforgeeks.org/data-engineering/exp…
Explain the ETL (Extract, Transform, Load) Process in ... - GeeksforGeeks
ETL stands for Extract, Transform, and Load and represents the backbone of data engineering where data gathered from different sources is normalized and consolidated for the purpose of analysis and reporting.
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amazon.com
https://aws.amazon.com/what-is/etl/
What is ETL? - Extract Transform Load Explained - AWS
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 raw data and prepare it for storage, data analytics, and machine learning (ML).
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microsoft.com
https://learn.microsoft.com/en-us/azure/architectu…
Extract, transform, load (ETL) - Azure Architecture Center
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 rules using a specialized engine.
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informatica.com
https://www.informatica.com/resources/articles/wha…
What is ETL (extract transform load)? - Informatica
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 common use cases for ETL.
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google.com
https://cloud.google.com/learn/what-is-etl
What is ETL? - Google Cloud
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...
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coalesce.io
https://coalesce.io/data-insights/what-is-etl-a-co…
What is ETL? A complete guide to Extract, Transform, Load in 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 analyze it and use it to inform business decisions.
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integrate.io
https://www.integrate.io/blog/what-is-an-etl-pipel…
What Is an ETL Pipeline? Definition, Use Cases, and Top Tools in 2025
ETL pipelines extract, transform, and load data into destinations where teams can analyze and operationalize insights. This guide explains ETL fundamentals, core use cases, and how small teams and enterprises pick the right platform. We compare leading tools head-to-head and detail selection criteria. Integrate.io appears as our top pick for ...
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tdwi.org
https://tdwi.org/blogs/data-101/2025/09/what-is-et…
What Is ETL? A Beginner's Guide to Extract, Transform, Load Processes
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 warehouse operations.