Data Engineering
What I Look For in a Reliable Data Platform
Reliability starts before orchestration. A useful data platform has clear ownership, observable runs, freshness expectations, and reporting models that business users can trust.
Data Engineering
Reliability starts before orchestration. A useful data platform has clear ownership, observable runs, freshness expectations, and reporting models that business users can trust.
This placeholder post will become a practical checklist covering architecture, ownership, freshness, lineage, schema changes, alerting, backfills, semantic reporting, and stakeholder communication.