# Resources written by community members

**URL:** <https://discourse.getdbt.com/t/resources-written-by-community-members/276>\
**Category:** Archive\
**Created:** [March 22, 2019, 2:15pm UTC](https://discourse.getdbt.com/t/resources-written-by-community-members/276 "2019-03-22T14:15:16Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![claire](https://sea2.discourse-cdn.com/flex020/user_avatar/discourse.getdbt.com/claire/32/522_2.png) [@claire](https://discourse.getdbt.com/u/claire)\
**Post date:** [March 22, 2019, 2:15pm UTC](https://discourse.getdbt.com/t/resources-written-by-community-members/276/1 "2019-03-22T14:15:16Z")

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We are extremely lucky to have members in our community that have written about they use dbt! If you’ve written an article, let us know so we can add it to the list!

# 2019

- [Converting Looker PDTs to dbt models: Reasons why (and why not)](https://dbanalytics.co/posts/looker-pdt-to-dbt-part-one/) – @dylanbaker
- [No frills data warehousing with dbt](http://tamaszilagyi.com/blog/2019/2019-03-05-dbt/) - by Tamas Szilagyi

# 2018

- [Automated testing in the modern data warehouse](https://medium.com/@josh.temple/automated-testing-in-the-modern-data-warehouse-d5a251a866af) – @joshtemple
- [What’s a Data Stack?](https://medium.com/@foundinblank/whats-a-data-stack-7c96f7a15fe8) – @adamstone
- [Creating a 4-5-4 Retail Calendar using SQL and dbt](https://calogica.com/sql/dbt/2018/11/15/retail-calendar-in-sql.html) – @claus
- [The data modeling layer in startup analytics – dbt vs. Matillion vs. LookML and more](https://www.stephenlevin.co/data-modeling-layer-startup-analytics-dbt-vs-matillion-vs-lookml/) – Stephen Levin

If you’re interested in reading about the data world in general, you can read some of our more opinionated posts on the [Fishtown Blog](https://blog.fishtownanalytics.com/). We also share our favorite data-related posts of the week in the [Data Science Roundup](http://roundup.fishtownanalytics.com/).

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**Author:** ![emilie](https://sea2.discourse-cdn.com/flex020/user_avatar/discourse.getdbt.com/emilie/32/23_2.png) [@emilie](https://discourse.getdbt.com/u/emilie)\
**Post date:** [March 25, 2019, 11:07am UTC](https://discourse.getdbt.com/t/resources-written-by-community-members/276/2 "2019-03-25T11:07:43Z")

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I would also like to suggest @tlapiana’s talk at DataEngConf NYC 2018 titled “How Data Teams Do More With Less By Adopting Software Engineering Best Practices.” He outlines how dbt and dbt docs have been a core part of the GitLab Data Team’s ability to scale knowledge within the organization, among other cool things about our workflow.

Admittedly, I’m biased because he’s a coworker of mine, but I think the talk is definitely worth a watch!