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Data Science & Analytics vocabulary · Data Pipelines and Warehousing

Data pipeline

Meaning in data science & analytics, with examples

nounCore term

In data science & analytics, data pipeline means: A series of automated steps that moves data from its sources, transforms it and delivers it to a destination such as a warehouse, dashboard or model.

In Turkish: veri hattı, pipeline, veri boru hattı

How it is used

Data engineers build and maintain pipelines; analysts notice when one breaks or runs late. You build, schedule, monitor and fix a pipeline, and people say a pipeline 'failed', 'ran' or 'is down'. In context often just 'pipeline'.

Example sentences

  1. The dashboard is empty because the data pipeline failed overnight.

  2. We're building a new data pipeline to bring in app events every hour.

Common collocations

  • build a data pipeline
  • pipeline failure
  • maintain a pipeline
  • pipeline runs daily
  • ETLShort for extract, transform, load: the process of taking data out of source systems, cleaning and reshaping it, and loading it into a warehouse.
  • data warehouseA central database designed for analysis that stores cleaned, structured data from many systems, such as sales, marketing and finance, often over many years.
  • batch processingProcessing data in large groups at scheduled times, for example once every night, rather than handling each record the moment it arrives.
  • data lineageA record of where data comes from, which steps and systems it passes through and how it changes along the way, right up to the reports that use it.

This word in other fields

The same English word can have a different meaning in another field:

More terms: Data Pipelines and Warehousing

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