From 97ccd64672c38790a8106a5cbb4b7d59fc4f819a Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 7 Dec 2023 11:28:37 -0500 Subject: [PATCH] Update website/docs/terms/data-wrangling.md Co-authored-by: Grace Goheen <53586774+graciegoheen@users.noreply.github.com> --- website/docs/terms/data-wrangling.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/terms/data-wrangling.md b/website/docs/terms/data-wrangling.md index d71013524ca..96f3e938411 100644 --- a/website/docs/terms/data-wrangling.md +++ b/website/docs/terms/data-wrangling.md @@ -152,7 +152,7 @@ For nested data types such as JSON, you’ll want to check out the JSON parsing dbt offers [generic tests](/docs/build/data-tests#more-generic-tests) in every dbt project that allows you to validate accepted, unique, and null values. They also allow you to validate the relationships between tables and that the primary key is unique. -If you can’t find what you need with the generic tests, you can download an additional dbt testing package called [dbt_expectations](https://hub.getdbt.com/calogica/dbt_expectations/0.1.2/) that dives even deeper into how you can test the values in your columns. This package has useful tests like `expect_column_values_to_be_in_type_list`, `expect_column_values_to_be_between`, and `expect_column_value_lengths_to_equal`. +If you can’t find what you need with the generic tests, you can download an additional dbt testing package called [dbt_expectations](https://hub.getdbt.com/calogica/dbt_expectations/0.1.2/) that dives even deeper into how you can test the values in your columns. This package has useful data tests like `expect_column_values_to_be_in_type_list`, `expect_column_values_to_be_between`, and `expect_column_value_lengths_to_equal`. ## Conclusion