Newsletter archive
Browse every issue from DQMate covering data quality, governance, lineage, and AI trust.
Data Quality
Twelve Tests Every Production dbt Project Should Have on Day One
The essential quality checks every analytics engineering team should standardize before scaling pipelines. Why Testing Matters in dbt Projects Production dbt environments constantly evolve...
Lineage & Observability
Detecting Silent Schema Drift in Snowflake Without Drowning in Alerts
Modern Snowflake environments evolve rapidly as analytics teams continuously modify tables, pipelines, and transformation logic. While these changes improve flexibility, they can also introduce...
AI Trust & Safety
Why Your RAG Pipeline Needs a Lineage Graph Before It Needs a Better Embedder
Modern RAG pipelines depend heavily on embeddings, vector databases, and retrieval optimization. However, many teams overlook a more fundamental problem: understanding where their data...
Governance
A Pragmatic Stewardship Model for Companies Under 1,000 People
As organizations grow, governance often becomes increasingly difficult to manage across data, analytics, and operational systems. However, smaller companies rarely need heavyweight governance frameworks...
Data Engineering
The Data Contract that Actually Got Adopted — and the Three That Didn’t
Rolling out producer-side data contracts sounds straightforward in theory. In practice, most governance initiatives fail long before the technical implementation becomes the problem. At...