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# Is ETL Still Relevant in the Data-Driven Age?

**[Towards AI](https://daily.dev/sources/tai)** · 3 min read · 3 upvotes · 0 comments

## Summary

ETL (Extract, Transform, Load) is still relevant in the data-driven age as it allows companies to manage large chunks of data, perform data aggregation and transformation, optimize resource management, and execute tasks during off-peak hours. ETL plays a crucial role in orchestrating data workflows and meeting the demands of the data-driven world.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://pub.towardsai.net/etl-1ae0b5aa7b93>

---

Tags: [#big-data](https://daily.dev/tags/big-data), [#etl](https://daily.dev/tags/etl)

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