# DataOps: 10 principles to develop data intensive projects

DevFeed: [DataOps: 10 principles to develop data intensive projects](<https://devfeed.tech/articles/dataops-10-principles-to-develop-data-intensive-projects-18468.md>)

Original publisher: [Read original article](<https://www.tinybird.co/blog/dataops-principles>)

Author: Alberto Romeu

Published: 2021-02-27T00:00:00Z

Content type: article

Language: en

Sources: [Tinybird](<https://devfeed.tech/sources/tinybird.md>)

Topics: [DataOps](<https://devfeed.tech/topics/dataops.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [data](<https://devfeed.tech/tags/data.md>), [dataops](<https://devfeed.tech/tags/dataops.md>), [develop](<https://devfeed.tech/tags/develop.md>), [projects](<https://devfeed.tech/tags/projects.md>), [scalable-analytics-architecture](<https://devfeed.tech/tags/scalable-analytics-architecture.md>), [teams](<https://devfeed.tech/tags/teams.md>)

## AI overview

The article presents 10 DataOps principles for developing data-intensive projects and supporting data teams.

## Source excerpt

10 of the principles of DataOps that we make available to data teams.