Tag:data quality

All the articles with the tag "data quality".

• 30 MIN READ•Sep 2, 2026

  Data Quality Tooling Compared: Great Expectations, Soda, dbt Tests, and Anomaly Detection

  A comparison of Great Expectations, Soda, dbt tests, and anomaly detection, and a layered design that uses each where it fits.

  Great ExpectationsSodadbt
• 30 MIN READ•Aug 19, 2026

  Goal-Directed Data Quality Agents: Anomaly Quarantine on Apache Iceberg

  Goal-directed data quality agents that watch Apache Iceberg tables, detect anomalies, and quarantine suspect data safely with snapshot isolation and branches.

  Apache Icebergdata qualityAI agents
• 30 MIN READ•Jul 25, 2026

  Freshness Is a Contract, Not a Note on a Dashboard

  Data freshness needs to become an engineering contract with a measurable value, an owner, and consequences. How to decompose lag, make freshness queryable, and keep agents honest.

  data freshnessdata qualityapache iceberg
• 14 MIN READ•Jun 22, 2026

  The Context Layer for AI Agents

  A semantic layer is necessary, but agents also need lineage, quality, freshness, compliance, and ownership context.

  AI metadatalineagedata quality
• 5 MIN READ•Feb 18, 2026

  Testing Data Pipelines: What to Validate and When

  Ask an application developer how they test their code and they'll describe unit tests, integration tests, CI/CD pipelines, and coverage metrics. Ask a data e...

  data engineeringbest practicestesting
• 5 MIN READ•Feb 18, 2026

  Data Quality Is a Pipeline Problem, Not a Dashboard Problem

  When an analyst finds null values in a revenue column, the typical response is to add a calculated field in the BI tool – `IF revenue IS NULL THEN 0`. That "f...

  data engineeringbest practicesdata quality