adding feedback from @nghi-ly

dbt-labs · Nov 7, 2023 · 1b148d5 · 1b148d5
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diff --git a/website/docs/guides/airflow-and-dbt-cloud.md b/website/docs/guides/airflow-and-dbt-cloud.md
@@ -164,7 +164,9 @@ Now you have all the working pieces to get up and running with Airflow + dbt Clo
 
 ![https://lh3.googleusercontent.com/sRxe5xbv_LYhIKblc7eiY7AmByr1OibOac2_fIe54rpU3TBGwjMpdi_j0EPEFzM1_gNQXry7Jsm8aVw9wQBSNs1I6Cyzpvijaj0VGwSnmVf3OEV8Hv5EPOQHrwQgK2RhNBdyBxN2](https://lh3.googleusercontent.com/sRxe5xbv_LYhIKblc7eiY7AmByr1OibOac2_fIe54rpU3TBGwjMpdi_j0EPEFzM1_gNQXry7Jsm8aVw9wQBSNs1I6Cyzpvijaj0VGwSnmVf3OEV8Hv5EPOQHrwQgK2RhNBdyBxN2)
 
-## Add your `job_id` and `account_id` config details to the python file: [dbt_cloud_provider_eltml.py](https://github.com/sungchun12/airflow-dbt-cloud/blob/main/dags/dbt_cloud_provider_eltml.py)
+## Add your `job_id` and `account_id` config details to the python file
+
+ Add your `job_id` and `account_id` config details to the python file: [dbt_cloud_provider_eltml.py](https://github.com/sungchun12/airflow-dbt-cloud/blob/main/dags/dbt_cloud_provider_eltml.py).
 
 1. You’ll find these details within the dbt Cloud job URL, see the comments in the code snippet below for an example.
 

diff --git a/website/docs/guides/bigquery-qs.md b/website/docs/guides/bigquery-qs.md
@@ -2,11 +2,10 @@
 title: "Quickstart for dbt Cloud and BigQuery"
 id: "bigquery"
 time_to_complete: '30 minutes'
-platform: 'dbt-cloud'
+level: 'Beginner'
 icon: 'bigquery'
 hide_table_of_contents: true
 tags: ['BigQuery', 'dbt Cloud']
-level: 'Beginner'
 recently_updated: true
 ---
 

diff --git a/website/docs/guides/building-packages.md b/website/docs/guides/building-packages.md
@@ -1,13 +1,13 @@
 ---
-title: "Building dbt packages" # to do: update this to creating
+title: "Building dbt packages" 
 id: "building-packages"
 description: When you have dbt code that might help others, you can create a package for dbt using a GitHub repository. 
 displayText: Building dbt packages
 hoverSnippet: Learn how to create packages for dbt.
 time_to_complete: '60 minutes'
 icon: 'guides'
 hide_table_of_contents: true
-tags: ['dbt Core', 'legacy']
+tags: ['dbt Core']
 level: 'Advanced'
 recently_updated: true
 ---

diff --git a/website/docs/guides/codespace-qs.md b/website/docs/guides/codespace-qs.md
@@ -3,8 +3,9 @@ title: "Quickstart for dbt Core using GitHub Codespaces"
 id: codespace
 platform: 'dbt-core'
 icon: 'fa-github'
+level: 'Beginner'
 hide_table_of_contents: true
-tags: ['dbt Core']
+tags: ['dbt Core','Quickstart']
 ---
 
 ## Introduction

diff --git a/website/docs/guides/creating-new-materializations.md b/website/docs/guides/creating-new-materializations.md
@@ -1,14 +1,13 @@
 ---
 title: "Creating new materializations"
-id: "creating-new-materializations"
+id: creating-new-materializations
 description: Learn how to create your own materializations.
 displayText: Creating new materializations
 hoverSnippet: Learn how to create your own materializations.
 time_to_complete: '30 minutes'
-platform: 'dbt-core'
 icon: 'guides'
 hide_table_of_contents: true
-tags: ['materializations', 'dbt Core']
+tags: ['dbt Core']
 level: 'Advanced'
 recently_updated: true
 ---

diff --git a/website/docs/guides/custom-cicd-pipelines.md b/website/docs/guides/custom-cicd-pipelines.md
@@ -92,8 +92,6 @@ This next part will happen in you code hosting platform. We need to save your AP
 }>
 <TabItem value="github">
 
-In GitHub:
-
 - Open up your repository where you want to run the pipeline (the same one that houses your dbt project)
 - Click *Settings* to open up the repository options
 - On the left click the *Security* dropdown
@@ -113,8 +111,6 @@ Here’s a video showing these steps:
 
 <TabItem value="gitlab">
 
-In GitLab:
-
 - Open up your repository where you want to run the pipeline (the same one that houses your dbt project)
 - Click *Settings* > *CI/CD*
 - Under the *Variables* section, click *Expand,* then click *Add variable*

diff --git a/website/docs/guides/databricks-qs.md b/website/docs/guides/databricks-qs.md
@@ -1,10 +1,11 @@
 ---
 title: "Quickstart for dbt Cloud and Databricks"
 id: "databricks"
-platform: 'dbt-cloud'
+level: 'Beginner'
 icon: 'databricks'
 hide_table_of_contents: true
 recently_updated: true
+tags: ['dbt Cloud', 'Quickstart']
 ---
 ## Introduction
 

diff --git a/...e/docs/guides/dbt models on Databricks.md → ...e/docs/guides/dbt-models-on-databricks.md b/...e/docs/guides/dbt models on Databricks.md → ...e/docs/guides/dbt-models-on-databricks.md
@@ -1,5 +1,6 @@
 ---
 title: Optimize and troubleshoot dbt models on Databricks
+id: optimize-dbt-models-on-databricks
 sidebar_label: "Optimize and troubleshoot dbt models on Databricks"
 description: "Learn more about optimizing and troubleshooting your dbt models on Databricks"
 displayText: Optimizing and troubleshooting your dbt models on Databricks

diff --git a/website/docs/guides/debugging-schema-names.md b/website/docs/guides/debugging-schema-names.md
@@ -8,7 +8,7 @@ time_to_complete: '45 minutes'
 platform: 'dbt-core'
 icon: 'guides'
 hide_table_of_contents: true
-tags: ['dbt Core', 'legacy']
+tags: ['dbt Core']
 level: 'Advanced'
 recently_updated: true
 ---

diff --git a/website/docs/guides/how-to-set-up-your-databricks-dbt-project.md b/website/docs/guides/how-to-set-up-your-databricks-dbt-project.md
@@ -1,5 +1,6 @@
 ---
 title: How to set up your Databricks and dbt project
+id: how-to-set-up-your-databricks-dbt-project
 sidebar_label: "How to set up your Databricks and dbt project"
 description: "Learn more about setting up your dbt project with Databricks"
 displayText: Setting up your dbt project with Databricks
@@ -12,6 +13,8 @@ level: 'Intermediate'
 recently_updated: true
 ---
 
+## Introduction
+
 Databricks and dbt Labs are partnering to help data teams think like software engineering teams and ship trusted data, faster. The dbt-databricks adapter enables dbt users to leverage the latest Databricks features in their dbt project. Hundreds of customers are now using dbt and Databricks to build expressive and reliable data pipelines on the Lakehouse, generating data assets that enable analytics, ML, and AI use cases throughout the business.
 
 In this guide, we discuss how to set up your dbt project on the Databricks Lakehouse Platform so that it scales from a small team all the way up to a large organization.

diff --git a/website/docs/guides/how-to-use-databricks-workflows-to-run-dbt-cloud-jobs.md b/website/docs/guides/how-to-use-databricks-workflows-to-run-dbt-cloud-jobs.md
@@ -11,6 +11,7 @@ tags: ['Databricks', 'dbt Core','dbt Cloud','Orchestration']
 level: 'Intermediate'
 recently_updated: true
 ---
+
 ## Introduction
 
 Using Databricks workflows to call the dbt Cloud job API can be useful for several reasons:

diff --git a/website/docs/guides/manual-install-qs.md b/website/docs/guides/manual-install-qs.md
@@ -3,8 +3,10 @@ title: "Quickstart for dbt Core from a manual install"
 id: manual-install
 description: "Connecting your warehouse to dbt Core using the CLI."
 sidebar_label: "Manual install quickstart"
+level: 'Beginner'
 platform: 'dbt-core'
 icon: 'fa-light fa-square-terminal'
+tags: ['dbt Core','Quickstart']
 hide_table_of_contents: true
 ---
 ## Introduction

diff --git a/website/docs/guides/migrating-from-spark-to-databricks.md b/website/docs/guides/migrating-from-spark-to-databricks.md
@@ -5,7 +5,6 @@ description: Learn how to migrate from dbt-spark to dbt-databricks.
 displayText: Migrating from Spark to Databricks
 hoverSnippet: Learn how to migrate from dbt-spark to dbt-databricks.
 time_to_complete: '30 minutes'
-platform: ['dbt-core','dbt-cloud']
 icon: 'guides'
 hide_table_of_contents: true
 tags: ['Migration', 'dbt Core','dbt Cloud']

diff --git a/website/docs/guides/redshift-qs.md b/website/docs/guides/redshift-qs.md
@@ -1,11 +1,10 @@
 ---
 title: "Quickstart for dbt Cloud and Redshift"
 id: "redshift"
-platform: 'dbt-cloud'
+level: 'Beginner'
 icon: 'redshift'
 hide_table_of_contents: true
 tags: ['Redshift', 'dbt Cloud']
-level: 'Advanced'
 ---
 ## Introduction
 

diff --git a/website/docs/guides/refactoring-legacy-sql.md b/website/docs/guides/refactoring-legacy-sql.md
@@ -8,7 +8,7 @@ time_to_complete: '30 minutes'
 platform: 'dbt-cloud'
 icon: 'guides'
 hide_table_of_contents: true
-tags: ['SQL', 'legacy']
+tags: ['SQL']
 level: 'Advanced'
 recently_updated: true
 ---

diff --git a/website/docs/guides/sl-migration.md b/website/docs/guides/sl-migration.md
@@ -12,7 +12,7 @@ level: 'Intermediate'
 recently_updated: true
 ---
 
-## introduction
+## Introduction
 
 The legacy Semantic Layer will be deprecated in H2 2023. Additionally, the `dbt_metrics` package will not be supported in dbt v1.6 and later. If you are using `dbt_metrics`, you'll need to upgrade your configurations before upgrading to v1.6. This guide is for people who have the legacy dbt Semantic Layer setup and would like to migrate to the new dbt Semantic Layer. The estimated migration time is two weeks. 
 

diff --git a/website/docs/guides/snowflake-qs.md b/website/docs/guides/snowflake-qs.md
@@ -1,8 +1,9 @@
 ---
 title: "Quickstart for dbt Cloud and Snowflake"
 id: "snowflake"
-platform: 'dbt-cloud'
+level: 'Beginner'
 icon: 'snowflake'
+tags: ['dbt Cloud','Quickstart']
 hide_table_of_contents: true
 ---
 ## Introduction

diff --git a/website/docs/guides/starburst-galaxy-qs.md b/website/docs/guides/starburst-galaxy-qs.md
@@ -1,9 +1,10 @@
 ---
 title: "Quickstart for dbt Cloud and Starburst Galaxy"
 id: "starburst-galaxy"
-platform: 'dbt-cloud'
+level: 'Beginner'
 icon: 'starburst'
 hide_table_of_contents: true
+tags: ['dbt Cloud','Quickstart']
 ---
 ## Introduction
 

diff --git a/website/docs/guides/using-jinja.md b/website/docs/guides/using-jinja.md
@@ -2,14 +2,15 @@
 title: "Using Jinja"
 id: "using-jinja"
 time_to_complete: '30 minutes'
-platform: 'dbt-core'
 icon: 'guides'
 hide_table_of_contents: true
-tags: ['jinja', 'dbt Core']
+tags: ['Jinja', 'dbt Core']
 level: 'Advanced'
 recently_updated: true
 ---
 
+## Introduction
+
 In this guide, we're going to take a common pattern used in SQL, and then use Jinja to improve our code.
 
 If you'd like to work through this query, add [this CSV](https://github.com/dbt-labs/jaffle_shop/blob/core-v1.0.0/seeds/raw_payments.csv) to the `seeds/` folder of your dbt project, and then execute `dbt seed`.