Technology
What is A data pipeline?
A data pipeline is an automated series of steps that moves and transforms data from its sources to where it's used — like a dashboard or AI model. It collects, cleans, and reshapes raw data so it arrives ready to analyze, reliably and repeatedly.
See it, don’t just read it.
Watch a 2-minute lesson with voice + animation that explains a data pipeline.
Key things to understand
- 1It automates moving data from source to destination.
- 2Along the way it cleans and transforms the data.
- 3It makes raw data ready for analysis or AI.
- 4It runs reliably and repeatedly, often on a schedule.
Frequently asked questions
- What is a data pipeline?
- An automated workflow that collects, cleans, transforms, and delivers data from sources to where it's used.
- Why are data pipelines important?
- They reliably turn messy raw data into clean, usable data for analytics and AI, without manual work.
- What is ETL?
- Extract, Transform, Load — a common data-pipeline pattern for moving and preparing data.