ETL

In computing, extract, transform, load (ETL) is the general procedure of copying data from one or more sources into a destination system which represents the data differently from the source(s) or in a different context than the source(s). The ETL process became a popular concept in the 1970s and is often used in data warehousing.

Job Relevance

Percent of recent job postings including ETL

Related Training

3 learning opportunities

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Online Learning

Introduction to ETL in Python

Want to grow your data engineering skills and more efficiently process big data? Well, it’s time to develop your ETL skills. In this course, you’ll l…

By Stefano Francavilla

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Online Learning

Power BI Dataflows Essential Training

Boost efficiency and eliminate duplicate work by learning how to use Power BI dataflows. Discover how to scale the ETL process across many users of P…

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Online Learning

SQL Server Integration Services

Learn how to extract, transform, and load data (and create ETL packages) with SQL Server Integration Services, one of the core add-on components to S…