From 4b12768585dd6215ccdb74fc72509f06f94382d7 Mon Sep 17 00:00:00 2001 From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com> Date: Fri, 6 Oct 2023 11:19:40 +0100 Subject: [PATCH 1/2] sql in caps change sql to caps --- website/docs/docs/build/analyses.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/analyses.md b/website/docs/docs/build/analyses.md index cd74c2e052d..c3f3611092b 100644 --- a/website/docs/docs/build/analyses.md +++ b/website/docs/docs/build/analyses.md @@ -6,7 +6,7 @@ id: "analyses" ## Overview -dbt's notion of `models` makes it easy for data teams to version control and collaborate on data transformations. Sometimes though, a certain sql statement doesn't quite fit into the mold of a dbt model. These more "analytical" sql files can be versioned inside of your dbt project using the `analysis` functionality of dbt. +dbt's notion of `models` makes it easy for data teams to version control and collaborate on data transformations. Sometimes though, a certain sql statement doesn't quite fit into the mold of a dbt model. These more "analytical" SQL files can be versioned inside of your dbt project using the `analysis` functionality of dbt. Any `.sql` files found in the `analyses/` directory of a dbt project will be compiled, but not executed. This means that analysts can use dbt functionality like `{{ ref(...) }}` to select from models in an environment-agnostic way. From 18268d3b767cd5d7887b2bf9c4a5372b5be71ca3 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Wed, 25 Oct 2023 15:51:45 -0400 Subject: [PATCH 2/2] Update website/docs/docs/build/analyses.md --- website/docs/docs/build/analyses.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/build/analyses.md b/website/docs/docs/build/analyses.md index 3d7ee59d1c8..af6fb0320f0 100644 --- a/website/docs/docs/build/analyses.md +++ b/website/docs/docs/build/analyses.md @@ -7,7 +7,7 @@ pagination_next: null ## Overview -dbt's notion of `models` makes it easy for data teams to version control and collaborate on data transformations. Sometimes though, a certain sql statement doesn't quite fit into the mold of a dbt model. These more "analytical" SQL files can be versioned inside of your dbt project using the `analysis` functionality of dbt. +dbt's notion of `models` makes it easy for data teams to version control and collaborate on data transformations. Sometimes though, a certain SQL statement doesn't quite fit into the mold of a dbt model. These more "analytical" SQL files can be versioned inside of your dbt project using the `analysis` functionality of dbt. Any `.sql` files found in the `analyses/` directory of a dbt project will be compiled, but not executed. This means that analysts can use dbt functionality like `{{ ref(...) }}` to select from models in an environment-agnostic way.