What is Data Pipeline?
An automated series of steps that moves and processes data from one system to another.
Why It Matters
Data pipelines automate the flow of data, ensuring your analytics and systems always have fresh information.
Real-World Example
An automated pipeline that collects website events, enriches them with user data, and sends them to your analytics platform.
“Understanding terms like Data Pipeline matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
ETL (Extract, Transform, Load)
A process that extracts data from sources, transforms it into a useful format, and loads it into a destination.
Streaming Data
Data that is continuously generated and processed in real time rather than in scheduled batches.
Batch Processing
Processing a large collection of data all at once on a schedule, rather than continuously.
Data Warehouse
A large database optimised for storing and analysing historical data from multiple sources.
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Related Terms
Data Warehouse
A large database optimised for storing and analysing historical data from multiple sources.
ETL (Extract, Transform, Load)
A process that extracts data from sources, transforms it into a useful format, and loads it into a destination.
Streaming Data
Data that is continuously generated and processed in real time rather than in scheduled batches.
Batch Processing
Processing a large collection of data all at once on a schedule, rather than continuously.
Database
An organised collection of data that your application can store, retrieve, and update
SQL
A language for communicating with databases, used to create, read, update, and delete data