What is a data pipeline?
A data pipeline is an automated process that moves data from one place to another, such as from ad platforms into a data warehouse. It may also clean, combine, or reshape the data on the way so it's ready for reporting.
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What a pipeline does
A pipeline collects data from sources like ad platforms, analytics tools, and your CRM. It then loads that data into a destination where it can be analyzed.
It runs on a schedule or in response to events, so reports stay current without manual exports.
Why marketers need pipelines
Marketing data sits in many separate tools, each with its own definitions. A pipeline brings it together so you can compare spend with leads and revenue in one place.
It also replaces copy-and-paste spreadsheets, which are slow and prone to errors.
Keeping a pipeline healthy
Pipelines break when a source changes its format or a connection expires. Monitor runs, set alerts for failures, and check key totals against the source platforms.
Common questions
What's the difference between a data pipeline and ETL?
ETL is one common pattern for a pipeline, where data is extracted, transformed, and then loaded. A pipeline is the broader term for any automated data movement.
Do I need a data warehouse for a pipeline?
Not always, but a warehouse is the most common destination for marketing data. Pipelines can also feed dashboards or other tools directly.
How often should a pipeline run?
It depends on how quickly you need to act. Daily is common for reporting, while some uses call for hourly or near real-time updates.
Can I build a pipeline without code?
Often, yes. Many connector tools move data from popular platforms to a warehouse without code. Custom sources may need engineering.
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