# DataOps: How to Develop and Scale Data Intensive Projects

DevFeed: [DataOps: How to Develop and Scale Data Intensive Projects](<https://devfeed.tech/articles/dataops-how-to-develop-and-scale-data-intensive-projects-18467.md>)

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

Author: Alberto Romeu

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

Content type: tutorial

Language: en

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

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

Tags: [dataops](<https://devfeed.tech/tags/dataops.md>), [develop](<https://devfeed.tech/tags/develop.md>), [devops](<https://devfeed.tech/tags/devops.md>), [pipelines](<https://devfeed.tech/tags/pipelines.md>), [scalable-analytics-architecture](<https://devfeed.tech/tags/scalable-analytics-architecture.md>), [scale](<https://devfeed.tech/tags/scale.md>)

## AI overview

The article presents DataOps practices for developing and scaling data-intensive projects. It describes these workflows as applying DevOps rigor to data pipelines in 2026.

## Source excerpt

DataOps practices separate teams that ship from teams that struggle. These workflows bring DevOps rigor to data pipelines in 2026.