Skip to content

Data & Databases

ELT

Extract, load, transform

A data pipeline pattern that loads raw data before transforming it in the destination system.

Example

Raw records are loaded first and transformed later inside the warehouse.

Why it matters

It lets teams prepare data using the destination's computing capabilities.

You'll hear it

“The raw records arrive first, and the reporting version is prepared afterward.”

Can you control it?

Set by the team

The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.

Common questions

Does loading first mean cleaning is unnecessary?
No. Preparation still matters; it happens later in the process.
Can raw data reveal details omitted from final reports?
Yes. The original material may contain more sensitive information.
Can different teams produce different results from the same raw records?
Yes. Their transformation rules and assumptions can differ.

AI chatbot

Still have questions?

Ask the AI chatbot about this term or another AI concept.

Up to 500 characters.

Ask LATHIC about AI. Relevant glossary entries may be included.

Your question, the glossary entries it matches, and a rotating pseudonymous identifier go to Microsoft Azure’s OpenAI service through Vercel AI Gateway to generate an answer. Zero retention and no training are required of the provider, and LATHIC does not save your question or answer. Privacy Notice