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What is a data pipeline?

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Quick answer

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.

Key things to understand

  1. It automates moving data from source to destination.
  2. Along the way it cleans and transforms the data.
  3. It makes raw data ready for analysis or AI.
  4. It runs reliably and repeatedly, often on a schedule.

People also ask

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.