#data-contract

Shift Left: Why Data Quality Is Moving to the Source

Data quality is quietly moving from a downstream cleanup job to an upstream promise. Here’s why that shift is becoming the default in 2026.

When Milliseconds Become a Compliance Problem: Time-to-Action Metrics and the EU AI Act’s Human…

My healthcare client’s fraud detection pipeline was technically compliant. The audit trail was clean, the lineage graph was complete, the…

Data Quality & Observability: Testing, Monitoring, Lineage & Data Contracts

Build production data quality at scale — data testing with dbt and Great Expectations, data observability with Monte Carlo and OpenLineage…

67. Data Contracts with dbt: Building Trustworthy and Reliable Data Pipelines

In modern data platforms, data is shared across multiple teams, dashboards, machine learning models, and business applications. As…

Data Contracts: O Acordo que todo time de dados precisa ter

Por que seus dashboards quebram — e como parar de apagar incêndios

Designing Event Schemas for Long-Lived Contracts

A progression from naive schemas to stable envelope-based event contracts.

Zero-Latency AI Analytics: Building a Real-Time Pipeline with RisingWave, Arrow ADBC, and Data…

When I migrated a credit union’s daily risk scores from a nightly Spark job to a real-time dashboard, the time-to-insight dropped from 12…

Data Contracts v2: From Schema Enforcement to Behavioral Guarantees

The first wave of data contracts validated structure. The next wave must validate meaning, freshness, distribution stability, and…

The DQ Pyramid: A Layered Approach to Data Quality That Actually Holds

Stop Sharing Files. Start Sharing Data Recipes with Contracts.

The Hidden Risk in Data Contracts: Silent Changes That Break Trust

How subtle shifts in the meaning of data can go unnoticed, disrupt downstream systems, and why managing semantic integrity is crucial for…