Data work often gets blocked by the unglamorous parts: brittle pipelines, unclear ownership, slow deployments, and systems that are hard to trust. This talk is about deliberately making data infrastructure “boring” — predictable, observable, and easy to change — so that the data itself can be used in lots of exciting ways.
Climate Policy Radar is a non-profit building open, credible databases and AI powered tools to support informed climate, nature, and development action.
Using a real-world journey from an unreliable ingest to a steadier, federated platform, this talk will walk through the principles and trade-offs that matter most: resilience over heroics, incremental delivery over big-bang rewrites, and transparency over intuition. The focus is not on specific tools, but on the engineering moves that turn data pipelines into dependable systems: orchestration that supports recovery, interfaces that unblock downstream teams, quality signals that can be acted on, and a shared layer (data lake/warehouse) that aligns definitions and reduces duplication.
Attendees will leave with a practical mental model for taking maturing data flows and making them boring — in a good way.
