Pipelines Shouldn’t Need Constant Fixing
To keep up with changes, traditional data pipelines require constant rework, manual mappings, and SQL scripting. But there’s a better way—reducing maintenance effort and aligning data with business needs.
Why Pipelines Become a Maintenance Burden
- Pipelines built around raw data require ongoing fixes and adjustments.
- Every source system change means manual updates and SQL scripting.
- Engineers spend more time maintaining pipelines than delivering insights.
This is the default way of working—but is it the best way?
A Business-First Alternative
Some teams have taken a different approach, designing pipelines around business concepts instead of source data constraints:
- Define business models first, map sources once
- Reduce rework when source data changes
- Less pipeline maintenance, more time for insights
We’ve compiled a short guide on how teams shift away from engineering-first pipelines.
What This Means for You
- If pipeline maintenance is taking priority over enabling data-driven decision-making, it may be time for a different approach.
- A business-first approach removes unnecessary maintenance and makes pipelines evolve with your business needs.
- Let’s talk about how teams are making the shift.
We are interested in hearing what you think of the above. Book a Meeting with us!
