Data Engineering Concepts

Pipelines, ETL/ELT, batch vs streaming, lakes and warehouses.

Intermediate

This is an overview — pick a sub-topic below.

Sub-topics (4)

Extract–Transform–Load vs Extract–Load–Transform: where the cleaning happens.

Easy♥ 0🔖 0💬 0

Automated chains of steps that move and transform data on a schedule or trigger.

Intermediate♥ 0🔖 0💬 0

Process data in scheduled chunks, or continuously as events arrive.

Intermediate♥ 0🔖 0💬 0

Where analytical data lives: raw files (lake), structured SQL tables (warehouse), or both (lakehouse).

Intermediate♥ 0🔖 0💬 0

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