# Best practices for downsampling billions of rows of data

DevFeed: [Best practices for downsampling billions of rows of data](<https://devfeed.tech/articles/best-practices-for-downsampling-billions-of-rows-of-data-18458.md>)

Original publisher: [Read original article](<https://www.tinybird.co/blog/data-downsampling-best-practices>)

Author: Paco González

Published: 2025-04-08T00:00:00Z

Content type: article

Language: en

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

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

Tags: [best-practices](<https://devfeed.tech/tags/best-practices.md>), [compute](<https://devfeed.tech/tags/compute.md>), [data](<https://devfeed.tech/tags/data.md>), [effective](<https://devfeed.tech/tags/effective.md>), [reduce](<https://devfeed.tech/tags/reduce.md>), [scalable-analytics-architecture](<https://devfeed.tech/tags/scalable-analytics-architecture.md>)

## AI overview

The article presents best practices for downsampling billions of rows of data. It states that downsampling can reduce compute resource use, while noting that this approach involves tradeoffs.

## Source excerpt

Data downsampling can be an effective way to reduce compute resources, but it comes with tradeoffs.