What is Data Pipeline?
It is the process of taking data from one place, processing it and moving it to another place.
Overview
Data pipeline is the process of taking data from one source, processing it and moving it to another place. It is the factory that transforms raw data into meaningful and usable information.
How it works
Data is first collected, faulty parts are cleaned, arranged in the required format and finally transferred to the database or artificial intelligence model.
Where it is used
It is used to prepare large amounts of data to train artificial intelligence or to generate daily sales reports.
Commonly confused with
It is confused with database, but pipeline is the process of movement and change of data while database is just storage space.
Frequently asked questions
Why is it so important?
If artificial intelligence models are trained with dirty data, they will give incorrect results, the pipeline provides this cleaning.
Does it work automatically?
Yes, the process is triggered automatically as data arrives and flows without human intervention.
Related terms
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →