Data & Databases
Data pipeline
An automated flow that moves and processes data between systems.
Example
A pipeline moves web events from collection through cleaning into analytics tables.
Why it matters
It keeps repeated transfers and preparation moving without manual handling of every record.
You'll hear it
“The report is stale because an earlier transfer stopped.”
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
- Can a pipeline partly succeed?
- Yes. Some records or stages may finish while others fail.
- Does successful movement guarantee correct information?
- No. The process can reliably carry incorrect source data.
- Can an upstream change affect several later systems?
- Yes. Changed fields or timing can flow into multiple dependent processes.