# GE + DBT User Experiences

**URL:** <https://discourse.greatexpectations.io/t/ge-dbt-user-experiences/110>\
**Category:** Feedback\
**Created:** [May 6, 2020, 8:26pm UTC](https://discourse.greatexpectations.io/t/ge-dbt-user-experiences/110 "2020-05-06T20:26:27Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![kyle](https://yyz1.discourse-cdn.com/flex031/user_avatar/discourse.greatexpectations.io/kyle/32/18_2.png) [@kyle](https://discourse.greatexpectations.io/u/kyle)\
**Post date:** [May 6, 2020, 8:26pm UTC](https://discourse.greatexpectations.io/t/ge-dbt-user-experiences/110/1 "2020-05-06T20:26:27Z")

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![ge dbt](https://canada1.discourse-cdn.com/flex031/uploads/greatexpectations/original/1X/225c3ad80a63252cfe272b66795905d40b0b4605.png)

Over the past few months I’ve been reaching out to users asking about their experience using Great Expectations. I’ve gathered so much invaluable feedback and have really enjoyed chatting with you all!  
Something that stuck out to me is how many users are finding that Great Expectations and DBT can complement each other really well! After seeing this instance continually pop up I decided I would crowd source an article asking our users how and why they use both at the same time so others can do the same.

So my ask to the Great Expectation community is to post here why you use both Great Expectations + DBT and if you don’t mind explaining how please add that as well.

Thanks in advance and I’m looking forward to seeing this combo flourish.

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**Author:** ![kyle](https://yyz1.discourse-cdn.com/flex031/user_avatar/discourse.greatexpectations.io/kyle/32/18_2.png) [@kyle](https://discourse.greatexpectations.io/u/kyle)\
**Post date:** [May 6, 2020, 8:50pm UTC](https://discourse.greatexpectations.io/t/ge-dbt-user-experiences/110/2 "2020-05-06T20:50:27Z")

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Shout out to all who contributed to this tutorial from the community:  
[Nehil](https://greatexpectationstalk.slack.com/team/UTNJ69MFX) and [Martin Guindon](https://app.slack.com/team/UUR305FM5)

> **[superconductive/ge\_tutorials](https://github.com/superconductive/ge_tutorials)**
>
> Learn how to add data validation and documentation to a data pipeline built with dbt and Airflow. - superconductive/ge\_tutorials