# Data quality testing

DevFeed: [Data quality testing](<https://devfeed.tech/articles/data-quality-testing-11744.md>)

Original publisher: [Read original article](<https://incident.io/blog/data-quality-testing>)

Author: Lambert Le Manh

Published: 2024-09-04T16:30:00Z

Content type: article

Language: en

Sources: [The incident.io Blog](<https://devfeed.tech/sources/the-incident-io-blog.md>)

Topics: [Data Quality](<https://devfeed.tech/topics/data-quality.md>), [data observability](<https://devfeed.tech/topics/data-observability.md>), [DataOps](<https://devfeed.tech/topics/dataops.md>), [ci](<https://devfeed.tech/topics/ci.md>), [Transactions](<https://devfeed.tech/topics/transactions.md>)

Tags: [ci](<https://devfeed.tech/tags/ci.md>), [data-observability](<https://devfeed.tech/tags/data-observability.md>), [data-quality](<https://devfeed.tech/tags/data-quality.md>), [flaky](<https://devfeed.tech/tags/flaky.md>), [incident](<https://devfeed.tech/tags/incident.md>), [incident-channel](<https://devfeed.tech/tags/incident-channel.md>), [incident-management](<https://devfeed.tech/tags/incident-management.md>), [incident-response](<https://devfeed.tech/tags/incident-response.md>), [observability](<https://devfeed.tech/tags/observability.md>), [outage](<https://devfeed.tech/tags/outage.md>), [post-mortem](<https://devfeed.tech/tags/post-mortem.md>), [slack-incident](<https://devfeed.tech/tags/slack-incident.md>), [testing](<https://devfeed.tech/tags/testing.md>), [transactions](<https://devfeed.tech/tags/transactions.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

## AI overview

The article explains how incident.io uses dbt's native testing features for data quality testing and data observability. It describes integrating validation into production and CI workflows, including custom tests and relationship tests, and addresses flaky failures caused by ingestion and transformation pipelines running at different times.

## Source excerpt

Our data observability workflow uses data quality testing to ensure data meets accuracy, consistency, and reliability standards, enabling confident, data-driven decisions. See how we built it, the common challenges we encountered, and the solutions.