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* Update regions.md

* Update connecting-your-database.md

* Update regions.md

* Update product-lifecycles.md

* Update set-up-snowflake-oauth.md

* Update regions.md

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* Update website/docs/docs/build/projects.md

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* Update website/docs/docs/build/projects.md

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* migrate remaining community resources from www site

* Fix misaligned arrows

* Adjust swiper classes

* update based off feedback

* Fix sidebar color issue

* Change the getting started link

* Matt's Python edits and moves for IA restructure

* Update website/docs/docs/build/projects.md

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* Update website/docs/docs/build/projects.md

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* change favicon to not conflict with autogenerated docs (dbt-labs#2201)

* change favicon to navy

* but what if purple

* What if purple and big

* Swap out old favicon for white on black png and adaptive svg

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* Fixing GS guide and links (dbt-labs#2186)

* fixing metadata links

* fixing metadata links

* moving some content adding landing page

* creating landing pages for Home page cards

* adding cards! TY Breezy

* Update _redirects

* Update website/docs/docs/build/sql-models.md

* Update website/docs/docs/collaborate/documentation.md

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* Apply suggestions from code review

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* Update _redirects

* Update installation-overview.md

* adding new links and fixing redirects

* fixing more links

* Update website/docs/docs/dbt-cloud/cloud-ide/ide-beta.md

* Apply suggestions from code review

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* connect azure link fix

* fix icon

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* Update website/docs/docs/collaborate/git/version-control-basics.md

* Update version-control-basics.md

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* Update _redirects

* Update sidebars.js

* Update and rename website/docs/docs/develop/dbt-cloud-tips.md to website/docs/docs/get-started/dbt-cloud-tips.md

* Update and rename website/docs/docs/develop/develop-in-the-cloud.md to website/docs/docs/get-started/develop-in-the-cloud.md

* Update and rename website/docs/docs/develop/dbt-cloud-features.md to website/docs/docs/get-started/dbt-cloud-features.md

* Rename website/docs/docs/develop/source-install.md to website/docs/docs/get-started/source-install.md

* Rename website/docs/docs/develop/pip-install.md to website/docs/docs/get-started/pip-install.md

* Rename website/docs/docs/develop/installation-overview.md to website/docs/docs/get-started/installation-overview.md

* Rename website/docs/docs/develop/homebrew-install.md to website/docs/docs/get-started/homebrew-install.md

* Rename website/docs/docs/develop/docker-install.md to website/docs/docs/get-started/docker-install.md

* Rename website/docs/docs/develop/connection-profiles.md to website/docs/docs/get-started/connection-profiles.md

* Rename website/docs/docs/develop/about-the-cli.md to website/docs/docs/get-started/about-the-cli.md

* Rename website/docs/docs/develop/getting-started/building-your-first-project/build-your-first-models.md to website/docs/docs/get-started/getting-started/build-your-first-models.md

* Rename website/docs/docs/develop/getting-started/building-your-first-project/schedule-a-job.md to website/docs/docs/get-started/getting-started/building-your-first-project/schedule-a-job.md

* Rename website/docs/docs/develop/getting-started/building-your-first-project/test-and-document-your-project.md to website/docs/docs/get-started/getting-started/building-your-first-project/test-and-document-your-project.md

* Rename website/docs/docs/get-started/getting-started/build-your-first-models.md to website/docs/docs/get-started/getting-started/building-your-first-project/build-your-first-models.md

* Rename website/docs/docs/develop/getting-started/getting-set-up/setting-up-bigquery.md to website/docs/docs/get-started/getting-started/getting-set-up/setting-up-bigquery.md

* Rename website/docs/docs/develop/getting-started/getting-set-up/setting-up-databricks.md to website/docs/docs/get-started/getting-started/getting-set-up/setting-up-databricks.md

* Rename website/docs/docs/develop/getting-started/getting-set-up/setting-up-redshift.md to website/docs/docs/get-started/getting-started/getting-set-up/setting-up-redshift.md

* Rename website/docs/docs/develop/getting-started/getting-set-up/setting-up-snowflake.md to website/docs/docs/get-started/getting-started/getting-set-up/setting-up-snowflake.md

* Rename website/docs/docs/develop/getting-started/learning-more/refactoring-legacy-sql.md to website/docs/docs/get-started/learning-more/refactoring-legacy-sql.md

* Rename website/docs/docs/develop/getting-started/learning-more/using-jinja.md to website/docs/docs/get-started/learning-more/using-jinja.md

* Rename website/docs/docs/develop/getting-started/add-a-seed.md to website/docs/docs/get-started/getting-started/add-a-seed.md

* Rename website/docs/docs/develop/getting-started/building-your-first-project.md to website/docs/docs/get-started/getting-started/building-your-first-project.md

* Rename website/docs/docs/develop/getting-started/create-a-project.md to website/docs/docs/get-started/getting-started/create-a-project.md

* Rename website/docs/docs/develop/getting-started/getting-set-up.md to website/docs/docs/get-started/getting-started/getting-set-up.md

* Rename website/docs/docs/develop/getting-started/getting-started-dbt-cloud.md to website/docs/docs/get-started/getting-started-dbt-cloud.md

* Rename website/docs/docs/develop/getting-started/getting-started-dbt-core.md to website/docs/docs/get-started/getting-started-dbt-core.md

* Update _redirects

* tweak copy to maintain equal lengh of cards

* Update website/docs/docs/dbt-versions/product-lifecycles.md

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* tweak copy to maintain equal lengh of cards

* tweak copy to maintain equal lengh of cards

* Update website/docs/docs/get-started/getting-started/getting-set-up.md

* manually trigger preference center

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* Update dbt-support.md

adding dbt core support blurb

* Change link on slack icon in footer

* Update website/docs/docs/dbt-support.md

* Update website/docs/docs/dbt-support.md

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* Fix 2 cardsZ

* Clean up duplicate content and stale pages

* Missed sidebar entry

* Create help feed embeds for a handful of pages (dbt-labs#2195)

* Create help feed embeds for a handful of pages

* Remove sneaky backtick

* Missed a backtick

* Maybe fix tags not being respected?

* Differentiate between loading failure and no posts. HelpFeed shows all time

* Assume no messages, not error

* limit returned discourse topics to 3

* Remove forum links when there are already FAQs

* Merge branch 'next' into discourse-help-feed-embeds

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* Update sidebar label

* Remove rogue console log

* Update website/docs/docs/get-started/getting-started/getting-set-up.md

* Move two pages

* Update _redirects

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* Overview page on deployments

* Fold in review comment

* Update admin-cloud-api.md (dbt-labs#2224)

* Update python-models.md

* Update website/docs/docs/build/models.md

* Update website/docs/docs/build/python-models.md

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* Update python-models.md

* Updating the What is dbt? page (dbt-labs#2207)

* updating Intro

* new linge

* update

* adding power features

* Apply suggestions from code review

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* Update website/docs/docs/build/python-models.md

* Fix community links

* Add redirect and updated links

* Update dbt cloud apis links

* trigger ci

* Put back missing period

* Correcting broken links

* Update website/docs/docs/build/custom-schemas.md

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* Link fixes

* Link fixes

* More link fixes

* Update website/docs/docs/dbt-cloud/cloud-ide/ide-beta.md

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* fixing links (dbt-labs#2228)

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* Update website/docs/docs/dbt-cloud/cloud-ide/ide-beta.md

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* Matts moves (dbt-labs#2219)

* Merging cloud upgrade pages

* Combines these two pages: 

Generating documentation in dbt Cloud - 
(https://docs.getdbt.com/docs/dbt-cloud/using-dbt-cloud/cloud-generating-documentation)

Viewing docs in the IDE - 
https://docs.getdbt.com/docs/dbt-cloud/cloud-ide/viewing-docs-in-the-ide

* Redirects for viewing docs in IDE

* More additions to the IA changes
Redirects, retitle of manage-access, and sidebar update

* Added CLI information

* Update and rename manage-access.md to about-access.md

* Update website/sidebars.js

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* Update cloud-build-and-view-your-docs.md

* Update website/docs/docs/collaborate/manage-access/about-access.md

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* Fix links

* Fix links 2

* fixing links (dbt-labs#2234)

* fixing links

* Update website/docs/docs/get-started/getting-started/getting-set-up/setting-up-snowflake.md

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* Fix links from npm output

* mo' links (dbt-labs#2237)

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4 changes: 4 additions & 0 deletions .gitignore
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Expand Up @@ -11,5 +11,9 @@ website/yarn.lock
website/node_modules
website/i18n/*

# Local vs code
.vscode
# Local Netlify folder
.netlify

.vscode
9 changes: 9 additions & 0 deletions .vscode/settings.json
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{
"spellright.language": [
"en"
],
"spellright.documentTypes": [
"latex",
"plaintext"
]
}
806 changes: 473 additions & 333 deletions _redirects

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2 changes: 1 addition & 1 deletion contributing/adding-page-components.md
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## Using warehouse components

You can use the following components to provide code snippets for each supported warehouse. You can see a real-life example in the docs page, "[Initialize your database](https://docs.getdbt.com/guides/getting-started/getting-set-up/setting-up-databricks#initialize-your-dbt-project)."
You can use the following components to provide code snippets for each supported warehouse. You can see a real-life example in the docs page, "[Initialize your database](/docs/get-started/getting-started/getting-set-up/setting-up-databricks#initialize-your-dbt-project)."

Identify code by labeling with the warehouse names:

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2 changes: 1 addition & 1 deletion website/blog/2019-05-01-how-we-structure-dbt-projects.md
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Expand Up @@ -106,7 +106,7 @@ Each staging directory contains at a minimum:
* A `src_<source>.yml` file which contains:
* [Source](/docs/building-a-dbt-project/using-sources) definitions, tests, and documentation
* A `stg_<source>.yml` file which contains
* [Tests](/docs/building-a-dbt-project/tests) and [documentation](/docs/building-a-dbt-project/documentation) for models in the same directory
* [Tests](/docs/build/tests) and [documentation](/docs/building-a-dbt-project/documentation) for models in the same directory

```
├── dbt_project.yml
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2 changes: 1 addition & 1 deletion website/blog/2021-09-15-september-21-product-email.md
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Expand Up @@ -43,7 +43,7 @@ Give Jeremy a win and check out the [blog](http://blog.getdbt.com/getting-ready
- Changelog and additional assets located [here.](https://docs.getdbt.com/docs/dbt-cloud/cloud-changelog?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-8nIpohDBSr7SvpXrqY-5ONmnjdIgW0XMiAPkjQTb9Pgwt24nzqAWNX2Xgtj8LA0LrPoHpD)*
- [DAG in the IDE](https://blog.getdbt.com/on-dags-hierarchies-and-ides/?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-8nIpohDBSr7SvpXrqY-5ONmnjdIgW0XMiAPkjQTb9Pgwt24nzqAWNX2Xgtj8LA0LrPoHpD): We want users to have a frictionless experience when navigating between code and context. Embedding the DAG within the IDE makes investigating project structure a lot easier
![Screen Shot 2021-09-22 at 4.59.24 PM](https://hs-8698602.f.hubspotemail.net/hub/8698602/hubfs/Screen%20Shot%202021-09-22%20at%204.59.24%20PM.png?upscale=true&width=1120&upscale=true&name=Screen%20Shot%202021-09-22%20at%204.59.24%20PM.png)
- The [Metadata API](https://docs.getdbt.com/docs/dbt-cloud/dbt-cloud-api/metadata/metadata-overview?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-8nIpohDBSr7SvpXrqY-5ONmnjdIgW0XMiAPkjQTb9Pgwt24nzqAWNX2Xgtj8LA0LrPoHpD): Now in GA! Assess data health with the metadata generated by recent dbt job runs
- The [Metadata API](https://docs.getdbt.com/docs/dbt-cloud-apis/metadata-api?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-8nIpohDBSr7SvpXrqY-5ONmnjdIgW0XMiAPkjQTb9Pgwt24nzqAWNX2Xgtj8LA0LrPoHpD): Now in GA! Assess data health with the metadata generated by recent dbt job runs
- [Dashboard Status Tiles](https://docs.getdbt.com/docs/dbt-cloud/using-dbt-cloud/cloud-dashboard-status-tiles?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-8nIpohDBSr7SvpXrqY-5ONmnjdIgW0XMiAPkjQTb9Pgwt24nzqAWNX2Xgtj8LA0LrPoHpD): Embed this tile anywhere iFrames live to quickly check data freshness

## New Resources 
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2 changes: 1 addition & 1 deletion website/blog/2021-10-15-october-21-product-update-email.md
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Expand Up @@ -64,7 +64,7 @@ The Model Timing tab in dbt Cloud highlights models taking particularly long to
### Things to Try 🛠️

- Nearly *500* dbt Cloud accounts are using CI. Want to know why? (or maybe... *how?*) Julia breaks it down in her [latest blog](https://blog.getdbt.com/adopting-ci-cd-with-dbt-cloud/?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-_wfy8vfjMjwQ7o8TXEOVz-oXI35iVcVP1HtAvriVHfJoAd1IcsP-MCww6vJUDlvAfiuQjZ) and shares how to choose and configure continuous delivery or continuous deployment at your organization.
- Hex just [launched an integration](https://hex.tech/blog/dbt-integration?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-_wfy8vfjMjwQ7o8TXEOVz-oXI35iVcVP1HtAvriVHfJoAd1IcsP-MCww6vJUDlvAfiuQjZ) with dbt! It uses the [dbt Cloud Metadata API](https://docs.getdbt.com/docs/dbt-cloud/dbt-cloud-api/metadata/metadata-overview?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-_wfy8vfjMjwQ7o8TXEOVz-oXI35iVcVP1HtAvriVHfJoAd1IcsP-MCww6vJUDlvAfiuQjZ) to surface metadata from dbt right in Hex, letting you quickly get the context you need on things like data freshness without juggling multiple apps and browser tabs. Get started [here](https://docs.hex.tech/connecting-to-data/configuring-data-connections/dbt-integration?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-_wfy8vfjMjwQ7o8TXEOVz-oXI35iVcVP1HtAvriVHfJoAd1IcsP-MCww6vJUDlvAfiuQjZ).
- Hex just [launched an integration](https://hex.tech/blog/dbt-integration?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-_wfy8vfjMjwQ7o8TXEOVz-oXI35iVcVP1HtAvriVHfJoAd1IcsP-MCww6vJUDlvAfiuQjZ) with dbt! It uses the [dbt Cloud Metadata API](https://docs.getdbt.com/docs/dbt-cloud-apis/metadata-api?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-_wfy8vfjMjwQ7o8TXEOVz-oXI35iVcVP1HtAvriVHfJoAd1IcsP-MCww6vJUDlvAfiuQjZ) to surface metadata from dbt right in Hex, letting you quickly get the context you need on things like data freshness without juggling multiple apps and browser tabs. Get started [here](https://docs.hex.tech/connecting-to-data/configuring-data-connections/dbt-integration?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-_wfy8vfjMjwQ7o8TXEOVz-oXI35iVcVP1HtAvriVHfJoAd1IcsP-MCww6vJUDlvAfiuQjZ).
- The [dbt-Rockset adapter](https://github.com/rockset/dbt-rockset?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-_wfy8vfjMjwQ7o8TXEOVz-oXI35iVcVP1HtAvriVHfJoAd1IcsP-MCww6vJUDlvAfiuQjZ) (now in beta) just received a major update. It now supports View, Table, Incremental, and Ephemeral materializations to help you perform real-time data transformations on Rockset. Read more [here.](https://rockset.com/blog/real-time-data-transformations-dbt-rockset?utm_campaign=Monthly%20Product%20Updates&utm_source=hs_email&utm_medium=email&_hsenc=p2ANqtz-_wfy8vfjMjwQ7o8TXEOVz-oXI35iVcVP1HtAvriVHfJoAd1IcsP-MCww6vJUDlvAfiuQjZ).

### Things to Read 📚
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2 changes: 1 addition & 1 deletion website/blog/2021-11-22-dbt-labs-pr-template.md
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Expand Up @@ -70,7 +70,7 @@ Checking for things like modularity and 1:1 relationships between sources and st

#### Validation of models:

This section should show something to confirm that your model is doing what you intended it to do. This could be a [dbt test](https://docs.getdbt.com/docs/building-a-dbt-project/tests) like uniqueness or not null, or could be an ad-hoc query that you wrote to validate your data. Here is a screenshot from a test run on a local development branch:
This section should show something to confirm that your model is doing what you intended it to do. This could be a [dbt test](/docs/build/tests) like uniqueness or not null, or could be an ad-hoc query that you wrote to validate your data. Here is a screenshot from a test run on a local development branch:

![test validation](/img/blog/pr-template-test-validation.png "dbt test validation")

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2 changes: 1 addition & 1 deletion website/blog/2021-11-22-primary-keys.md
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Expand Up @@ -51,7 +51,7 @@ In the days before testing your data was commonplace, you often found out that y

## How to test primary keys with dbt

Today, you can add two simple [dbt tests](https://docs.getdbt.com/docs/building-a-dbt-project/tests) onto your primary keys and feel secure that you are going to catch the vast majority of problems in your data.
Today, you can add two simple [dbt tests](/docs/build/tests) onto your primary keys and feel secure that you are going to catch the vast majority of problems in your data.

Not surprisingly, these two tests correspond to the two most common errors found on your primary keys, and are usually the first tests that teams testing data with dbt implement:

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2 changes: 1 addition & 1 deletion website/blog/2021-11-29-dbt-airflow-spiritual-alignment.md
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Expand Up @@ -90,7 +90,7 @@ So instead of getting bogged down in defining roles, let’s focus on hard skill
The common skills needed for implementing any flavor of dbt (Core or Cloud) are:

* SQL: ‘nuff said
* YAML: required to generate config files for [writing tests on data models](/docs/building-a-dbt-project/tests)
* YAML: required to generate config files for [writing tests on data models](/docs/build/tests)
* [Jinja](/guides/getting-started/learning-more/using-jinja): allows you to write DRY code (using [macros](/docs/building-a-dbt-project/jinja-macros), for loops, if statements, etc)

YAML + Jinja can be learned pretty quickly, but SQL is the non-negotiable you’ll need to get started.
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Expand Up @@ -69,7 +69,7 @@ In addition to learning the basic pieces of dbt, we're familiarizing ourselves w

If we decide not to do this, we end up missing out on what the dbt workflow has to offer. If you want to learn more about why we think analytics engineering with dbt is the way to go, I encourage you to read the [dbt Viewpoint](/docs/about/viewpoint)!

In order to learn the basics, we’re going to [port over the SQL file](/guides/getting-started/learning-more/refactoring-legacy-sql) that powers our existing "patient_claim_summary" report that we use in our KPI dashboard in parallel to our old transformation process. We’re not ripping out the old plumbing just yet. In doing so, we're going to try dbt on for size and get used to interfacing with a dbt project.
In order to learn the basics, we’re going to [port over the SQL file](/docs/get-started/learning-more/refactoring-legacy-sql) that powers our existing "patient_claim_summary" report that we use in our KPI dashboard in parallel to our old transformation process. We’re not ripping out the old plumbing just yet. In doing so, we're going to try dbt on for size and get used to interfacing with a dbt project.

**Project Appearance**

Expand All @@ -87,7 +87,7 @@ The most important thing we’re introducing when your project is an infant is t

* Introduce modularity with [{{ ref() }}](/reference/dbt-jinja-functions/ref) and [{{ source() }}](/reference/dbt-jinja-functions/source)

* [Document](/docs/building-a-dbt-project/documentation) and [test](/docs/building-a-dbt-project/tests) your first models
* [Document](/docs/building-a-dbt-project/documentation) and [test](/docs/build/tests) your first models

![image alt text](/img/blog/building-a-mature-dbt-project-from-scratch/image_3.png)

Expand Down Expand Up @@ -179,7 +179,7 @@ We've spent this level focused on deepening and optimizing our feature set — w

**Key Outcomes**

* Formalize dbt’s relationship to BI with [exposures](/docs/building-a-dbt-project/exposures)!
* Formalize dbt’s relationship to BI with [exposures](/docs/build/exposures)!

* Advanced use of metadata

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Expand Up @@ -152,7 +152,7 @@ select * from filter_real_diffs

> *What happens in this step? You check your data because you are thorough!*
Good thing dbt has already built this for you. Add a [unique test](https://docs.getdbt.com/docs/building-a-dbt-project/tests#generic-tests) to your YAML model block for your `grain_id` in this de-duped staging model, and give it a dbt test!
Good thing dbt has already built this for you. Add a [unique test](/docs/build/tests#generic-tests) to your YAML model block for your `grain_id` in this de-duped staging model, and give it a dbt test!

```yaml
models:
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Expand Up @@ -51,7 +51,7 @@ The dbt Semantic layer is comprised of the following components[^2]:

- **[`metric` node in dbt Core :](https://docs.getdbt.com/docs/building-a-dbt-project/metrics)** Similar to `models` or `sources` , this is a specific node type in dbt Core. It is the definition of a time-series aggregation over a table that supports zero or more dimensions. The resulting node is stored in the `manifest.json` just like `models` and referenced in the DAG.
- **[`dbt_metrics` package:](https://github.com/dbt-labs/dbt_metrics)** this package provides macros that combine the version-controlled metric definition and query-time parameters (like dimensions, a time grain, and secondary calculations) to generate a SQL query which calculates the metric value.
- **[dbt Cloud Metadata API](https://docs.getdbt.com/docs/dbt-cloud/dbt-cloud-api/metadata/metadata-overview):** a GraphQL API which supports arbitrary queries over the metadata produced by dbt Cloud jobs. Contains metadata related to the accuracy, recency, configuration, and structure of the views and tables in the warehouse, as well as much more.
- **[dbt Cloud Metadata API](https://docs.getdbt.com/docs/dbt-cloud-apis/metadata-api):** a GraphQL API which supports arbitrary queries over the metadata produced by dbt Cloud jobs. Contains metadata related to the accuracy, recency, configuration, and structure of the views and tables in the warehouse, as well as much more.

**New**

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Expand Up @@ -38,7 +38,7 @@ You’ll hear more in [Tristan’s keynote](https://coalesce.getdbt.com/agenda/k

- **dbt_artifacts v1.2.0:** [Brooklyn Data Co just shipped a pretty significant re-write to the dbt_artifacts package](https://brooklyndata.co/blog/dbt-artifacts-v100). Capture all the metadata generated by dbt at the end of an invocation (project nodes, success rate, test results, etc), and store directly in Snowflake, Databricks, or BigQuery for immediate analysis.
- **dbt YAML validator using JSON schema**: If you do any development in VS Code, [this repo unlocks autocomplete and validation for dbt’s YAML files](https://github.com/dbt-labs/dbt-jsonschema/). Find those tests that never ran because you messed up the indentation. *Not that that would ever happen to you.*
- **dbt Exposures for Hightouch**: [Exposures](https://docs.getdbt.com/docs/building-a-dbt-project/exposures) in dbt allow you to quickly see how downstream data applications are making use of your dbt models and sources. These don’t have to just represent dashboards in BI tools though — [you can now represent your Hightouch syncs as dbt exposures too](https://hightouch.com/blog/introducing-dbt-exposures-for-hightouch/).
- **dbt Exposures for Hightouch**: [Exposures](https://docs.getdbt.com/docs/build/exposures) in dbt allow you to quickly see how downstream data applications are making use of your dbt models and sources. These don’t have to just represent dashboards in BI tools though — [you can now represent your Hightouch syncs as dbt exposures too](https://hightouch.com/blog/introducing-dbt-exposures-for-hightouch/).
- **Are you a certified dbt developer?** We recently launched our new [Analytics Engineering certification](https://www.getdbt.com/certifications/analytics-engineer-certification-exam/) program, and would love to hear what you think. We personally dug [this writeup from Charles Verleyen](https://medium.com/astrafy/dbt-exam-feedback-8d07a0593648) on what to expect, and exactly how much experience/prep he recommends.

**Things to read 📚**
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Expand Up @@ -111,7 +111,7 @@ The analyst caught the issue because they have the appropriate context to valida

An analyst is able to identify which areas do *not* need to be 100% accurate, which means they can also identify which areas *do* need to be 100% accurate.

> dbt makes it very quick to add [data quality tests](https://docs.getdbt.com/docs/building-a-dbt-project/tests). In fact, it’s so quick, that it’ll take an analyst longer to write up what tests they want than it would take for an analyst to completely finish coding them.
> dbt makes it very quick to add [data quality tests](/docs/build/tests). In fact, it’s so quick, that it’ll take an analyst longer to write up what tests they want than it would take for an analyst to completely finish coding them.
When data quality issues are identified by the business, we often see that analysts are the first ones to be asked:

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Expand Up @@ -9,4 +9,4 @@
header: "Just Getting Started?"
subheader: Check out guides on getting your warehouse set up and connected to dbt Cloud.
button_text: Learn more
url: https://docs.getdbt.com/guides/getting-started/getting-set-up
url: https://docs.getdbt.com/docs/get-started/getting-started/overview
4 changes: 0 additions & 4 deletions website/dbt-versions.js
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Expand Up @@ -26,10 +26,6 @@ exports.versions = [
]

exports.versionedPages = [
{
"page": "docs/building-a-dbt-project/building-models/python-models",
"firstVersion": "1.3",
},
{
"page": "reference/dbt-jinja-functions/set",
"firstVersion": "1.2",
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@@ -0,0 +1,47 @@
---
title: Become a contributor
id: contribute
---

<section className="community-home">

## Want to get involved? Start here

The dbt Community predates dbt Labs as an organization and harkens back to the days when a scrappy analytics consultancy of a few [pissed off data analysts](<https://www.hashpath.com/2020/12/an-analytics-engineer-is-really-just-a-pissed-off-data-analyst/#:~:text=Often%20times%2C%20an%20analytics%20engineer,necessity%20(and%20genius%20branding).>) started hacking together an open source project around which gathered a community that would change how the world uses data.

The dbt Community exists to allow analytics practitioners to share their knowledge, help others and collectively to drive forward the discipline of analytics engineering. This is something that can’t be done by any one individual or any one organization - to create a new discipline is necessarily a community effort. The only reason that dbt has become as widespread as it has is because people like you choose to get involved and share your knowledge. Contributing to the community can also be a great way to learn new skills, build up a public portfolio and make friends with other practitioners.

There are opportunities here for everyone to get involved, whether you are just beginning your analytics engineering journey or you are a seasoned data professional. Contributing isn’t about knowing all of the answers, it’s about learning things together.

Below you’ll find a sampling of the ways to get involved. There are a lot of options but these are ultimately just variations on the theme of sharing knowledge with the broader community.

<div className="grid--3-col">

<Card
title="Writing contributions"
body="Learn how to share and grow the collective knowledge of the dbt Community through blogs, guides, and documentation."
link="community/contributing/contributing-writing" icon="pencil-paper"
/>

<Card
title="Coding contributions"
body="The dbt Community supports a wide variety of open source projects, and OSS software is at the heart of everything we do. Learn how to get involved with projects in the dbt ecosystem."
link="community/contributing/contributing-coding"
icon="folder"
/>

<Card
title="Online community building"
body="Getting involved in the dbt Community Forum or Slack is one of the best entry points for contributing. Share your knowledge and learn from others."
link="community/contributing/contributing-online-community"
icon="discussions"
/>

<Card
title="Realtime event participation"
body="Want to speak at a Meetup or conference? Learn how to get involved and check out best practices for crafting a talk that everyone will remember."
link="community/contributing/contributing-realtime-events"
icon="calendar" />

</div>
</section>
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