From fab3599aa0293b31f06760090f2a216f64c17e9c Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 11 Apr 2024 11:43:56 -0400 Subject: [PATCH 01/13] Staging environment --- .../docs/docs/deploy/deploy-environments.md | 45 ++++++++++++++++-- website/snippets/_cloud-environments-info.md | 16 ++++--- .../create-staging-environment.png | Bin 0 -> 189497 bytes 3 files changed, 50 insertions(+), 11 deletions(-) create mode 100644 website/static/img/docs/dbt-cloud/cloud-configuring-dbt-cloud/create-staging-environment.png diff --git a/website/docs/docs/deploy/deploy-environments.md b/website/docs/docs/deploy/deploy-environments.md index 4c1467afe8b..15d0b7aa656 100644 --- a/website/docs/docs/deploy/deploy-environments.md +++ b/website/docs/docs/deploy/deploy-environments.md @@ -16,15 +16,18 @@ A dbt Cloud project can have multiple deployment environments, providing you the To learn different approaches to managing dbt Cloud environments and recommendations for your organization's unique needs, read [dbt Cloud environment best practices](/guides/set-up-ci). ::: -This page reviews the different types of environments and how to configure your deployment environment in dbt Cloud. +Learn more about development vs. deployment environments in [dbt Cloud Environments](/docs/dbt-cloud-environments). -import CloudEnvInfo from '/snippets/_cloud-environments-info.md'; +There are three types of deployment environments that serve different needs: +- **Production**: Environment for transforming data and building pipelines for production use. +- **Staging**: Environment for working with production tools while limiting access to production data. +- **General**: General use environment for deployment development. - +We highly recommend using the `Production` environment type for the final, source of truth deployment data. There can be only one environment marked for final production workflows and we don't recommend using a `General` environment for this purpose. ## Create a deployment environment -To create a new dbt Cloud development environment, navigate to **Deploy** -> **Environments** and then click **Create Environment**. Select **Deployment** as the environment type. +To create a new dbt Cloud development environment, navigate to **Deploy** -> **Environments** and then click **Create Environment**. Select **Deployment** as the environment type. If you already have a development environment, the option will be greyed out. @@ -38,7 +41,8 @@ In dbt Cloud, each project can have one designated deployment environment, which For Semantic Layer-eligible customers, the next section of environment settings is the Semantic Layer configurations. [The Semantic Layer setup guide](/docs/use-dbt-semantic-layer/setup-sl) has the most up-to-date setup instructions! -### Deployment connection + +## Deployment connection :::info Warehouse Connections @@ -186,6 +190,37 @@ This section allows you to determine the credentials that should be used when co +## Staging environment + +:::note +Currently in limited availability beta. +::: + +Staging environments are a useful way to grant developers access to deployment workflows and tools while limiting access to production data. Staging environments are configured with their own, long living branch (for example, `staging`) that may be very similar to `main` in many ways, but limits the data that the developers can access. + +Ideally, the workflows would move upstream from Developer environment -> Staging environment -> Production environment with developer branches feeding in to the staging branch, then ultimately `main`. In many cases, `main` and `staging` branches will be identical after a merge, and remain that way until the next batch of changes from `developer` branches are ready to be elevated. We recommend setting branch protection rules on `stagin` similar to `main`. + +### Create a staging environment + +In the dbt Cloud, navigate to **Deploy** -> **Environments** and then click **Create Environment**. Select **Deployment** as the environment type. If you already have a development environment, the option will be greyed out. + + + +The "dbt version" should match the version used in production. + +Follow the steps outlined in [deployment credentials](#deployment-connection) to complete the remainder of the environment setup. + +// do we recommend specific credentials. + +### Use cases + +There are a variety of reasons to incorporate a staging environment into existing workflows, including (but not limited to): +- Securing the source of truth production environment +- Access control over sensitive data +- Limiting the amount of production data developers can access +- Protecting data access using cross project refs (if staging environments are defined in those projects) + + ## Related docs - [dbt Cloud environment best practices](/guides/set-up-ci) diff --git a/website/snippets/_cloud-environments-info.md b/website/snippets/_cloud-environments-info.md index 929337f86d4..4822c8a5eae 100644 --- a/website/snippets/_cloud-environments-info.md +++ b/website/snippets/_cloud-environments-info.md @@ -1,15 +1,19 @@ ## Types of environments In dbt Cloud, there are two types of environments: -- Deployment environment — Determines the settings used when jobs created within that environment are executed. -- Development environment — Determines the settings used in the dbt Cloud IDE or dbt Cloud CLI, for that particular project. +- **Deployment environment** — Determines the settings used when jobs created within that environment are executed.

+ Types of deployment environments: + - General + - Staging + - Production +- **Development environment** — Determines the settings used in the dbt Cloud IDE or dbt Cloud CLI, for that particular project. Each dbt Cloud project can only have a single development environment but can have any number of deployment environments. -| | Development Environments | Deployment Environments | -| --- | --- | --- | -| Determines settings for | dbt Cloud IDE or dbt Cloud CLI | dbt Cloud Job runs | -| How many can I have in my project? | 1 | Any number | +|| Development | Staging | Deployment | +|------| --- | --- | --- | +| **Determines settings for** | dbt Cloud IDE or dbt Cloud CLI | dbt Cloud Job runs | dbt Cloud Job runs | +| **How many can I have in my project?** | 1 | Any number | Any number | :::note For users familiar with development on dbt Core, each environment is roughly analogous to an entry in your `profiles.yml` file, with some additional information about your repository to ensure the proper version of code is executed. 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z*A=?&%=LJH76sgGL~zA9yE%JN(}zdo%g@D0;*;gu#oIO`Crz*)BCC98P}9@cjBz6+5C5!eE#=|UXlI-;(E}8Z7&SFgcH^> zJ_zWa4kEL~cpMMdeU!zFk|~(sqib3F9qxKb1-Qo+bGeZ}Pb5uuBZKijwLVKaw3UeP z(u)>)>VZp!w4d{AW6xK5KG?*P4j!LICTb-C4+I0}F(TX~fPH>Bq)T!y?vokrlbPfK zUPRZUb%*_m@&BUnJwP_p4S~^QxC9^f`Je8nmanxo!YYezrE3kP6)09|tf90DI4fOi zD6K%TN@ESBRlr&4T0?0Cid7nGD6Im{O4k}nD^RS`SVL(Qa8|n3P+EavmBt!MtAMl8 zwT99P6st7WP+A3?m990ER-jm=v4+wr;H-45p|k?UDvkdml%Sls-@o``qtB@m$A0o? z1vyVWRQ8J6|nxX00t()Eh&0sJTGU(*_jc;$Ri$>uMF9%pa_tJ^S|`PjCRz zZh;Cv8N51T_534i?bBTDCooy#0TLg_nLB0hNymR4^T`n)``Il{mLWf__P2lwF>Hae zTDP+L`oEaW$1xMSmnC=kMlynBpGzFd%sFgXJON5mRQfDQ?6W^U4 Date: Thu, 11 Apr 2024 11:48:21 -0400 Subject: [PATCH 02/13] Update website/docs/docs/deploy/deploy-environments.md --- website/docs/docs/deploy/deploy-environments.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/deploy-environments.md b/website/docs/docs/deploy/deploy-environments.md index 15d0b7aa656..1925e3a2cf6 100644 --- a/website/docs/docs/deploy/deploy-environments.md +++ b/website/docs/docs/deploy/deploy-environments.md @@ -196,7 +196,7 @@ This section allows you to determine the credentials that should be used when co Currently in limited availability beta. ::: -Staging environments are a useful way to grant developers access to deployment workflows and tools while limiting access to production data. Staging environments are configured with their own, long living branch (for example, `staging`) that may be very similar to `main` in many ways, but limits the data that the developers can access. +Staging environments are useful ways to grant developers access to deployment workflows and tools while controlling access to production data. They are configured with their own long-living branch (for example, `staging`) that may be very similar to `main` in many ways while potentially limiting the data the developers can access. Ideally, the workflows would move upstream from Developer environment -> Staging environment -> Production environment with developer branches feeding in to the staging branch, then ultimately `main`. In many cases, `main` and `staging` branches will be identical after a merge, and remain that way until the next batch of changes from `developer` branches are ready to be elevated. We recommend setting branch protection rules on `stagin` similar to `main`. From ffdfbc111c50deee6846b172c28f7f87659694f7 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 11 Apr 2024 11:49:30 -0400 Subject: [PATCH 03/13] Update website/docs/docs/deploy/deploy-environments.md --- website/docs/docs/deploy/deploy-environments.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/deploy-environments.md b/website/docs/docs/deploy/deploy-environments.md index 1925e3a2cf6..e618d5cfb4f 100644 --- a/website/docs/docs/deploy/deploy-environments.md +++ b/website/docs/docs/deploy/deploy-environments.md @@ -198,7 +198,7 @@ Currently in limited availability beta. Staging environments are useful ways to grant developers access to deployment workflows and tools while controlling access to production data. They are configured with their own long-living branch (for example, `staging`) that may be very similar to `main` in many ways while potentially limiting the data the developers can access. -Ideally, the workflows would move upstream from Developer environment -> Staging environment -> Production environment with developer branches feeding in to the staging branch, then ultimately `main`. In many cases, `main` and `staging` branches will be identical after a merge, and remain that way until the next batch of changes from `developer` branches are ready to be elevated. We recommend setting branch protection rules on `stagin` similar to `main`. +Ideally, the workflows would move upstream from the Development environment -> Staging environment -> Production environment with developer branches feeding into the staging branch, then ultimately `main`. In many cases, the `main` and `staging` branches will be identical after a merge and remain until the next batch of changes from the `development` branches are ready to be elevated. We recommend setting branch protection rules on `staging` similar to `main`. ### Create a staging environment From e4a1f00a9a7693d36941194df0c6bdfb60c72deb Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 11 Apr 2024 11:50:10 -0400 Subject: [PATCH 04/13] Update website/docs/docs/deploy/deploy-environments.md --- website/docs/docs/deploy/deploy-environments.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/deploy-environments.md b/website/docs/docs/deploy/deploy-environments.md index e618d5cfb4f..41e32d7fe22 100644 --- a/website/docs/docs/deploy/deploy-environments.md +++ b/website/docs/docs/deploy/deploy-environments.md @@ -27,7 +27,7 @@ We highly recommend using the `Production` environment type for the final, sourc ## Create a deployment environment -To create a new dbt Cloud development environment, navigate to **Deploy** -> **Environments** and then click **Create Environment**. Select **Deployment** as the environment type. If you already have a development environment, the option will be greyed out. +To create a new dbt Cloud deployment environment, navigate to **Deploy** -> **Environments** and then click **Create Environment**. Select **Deployment** as the environment type. The option will be greyed out if you already have a development environment. From 0f12505ea8cffc8b0787fee894d55fb911494e6c Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 11 Apr 2024 11:51:17 -0400 Subject: [PATCH 05/13] Update website/docs/docs/deploy/deploy-environments.md --- website/docs/docs/deploy/deploy-environments.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/deploy-environments.md b/website/docs/docs/deploy/deploy-environments.md index 41e32d7fe22..8c96270393b 100644 --- a/website/docs/docs/deploy/deploy-environments.md +++ b/website/docs/docs/deploy/deploy-environments.md @@ -202,7 +202,7 @@ Ideally, the workflows would move upstream from the Development environment -> S ### Create a staging environment -In the dbt Cloud, navigate to **Deploy** -> **Environments** and then click **Create Environment**. Select **Deployment** as the environment type. If you already have a development environment, the option will be greyed out. +In the dbt Cloud, navigate to **Deploy** -> **Environments** and then click **Create Environment**. Select **Deployment** as the environment type. The option will be greyed out if you already have a development environment. From 0e8e4e8b5445f0fca28f18f2584454f4e519bc2b Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 11 Apr 2024 20:01:55 -0400 Subject: [PATCH 06/13] Update website/docs/docs/deploy/deploy-environments.md --- website/docs/docs/deploy/deploy-environments.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/deploy-environments.md b/website/docs/docs/deploy/deploy-environments.md index 8c96270393b..95945503e39 100644 --- a/website/docs/docs/deploy/deploy-environments.md +++ b/website/docs/docs/deploy/deploy-environments.md @@ -210,7 +210,7 @@ The "dbt version" should match the version used in production. Follow the steps outlined in [deployment credentials](#deployment-connection) to complete the remainder of the environment setup. -// do we recommend specific credentials. +We recommend that the data warehouse credentials be for a dedicated user or service principal. ### Use cases From 5cb7113ae0bacec1916e819f6f76e8ca0bdec001 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 11 Apr 2024 20:02:43 -0400 Subject: [PATCH 07/13] Update website/docs/docs/deploy/deploy-environments.md --- website/docs/docs/deploy/deploy-environments.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/deploy-environments.md b/website/docs/docs/deploy/deploy-environments.md index 95945503e39..4cb6017a151 100644 --- a/website/docs/docs/deploy/deploy-environments.md +++ b/website/docs/docs/deploy/deploy-environments.md @@ -193,7 +193,7 @@ This section allows you to determine the credentials that should be used when co ## Staging environment :::note -Currently in limited availability beta. +Currently in limited availability beta. Contact support or your account team if you're interested in beta access. ::: Staging environments are useful ways to grant developers access to deployment workflows and tools while controlling access to production data. They are configured with their own long-living branch (for example, `staging`) that may be very similar to `main` in many ways while potentially limiting the data the developers can access. From 141e26b2501f643f9e7daedef5457c67c234c10f Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 11 Apr 2024 20:03:04 -0400 Subject: [PATCH 08/13] Update website/docs/docs/deploy/deploy-environments.md --- website/docs/docs/deploy/deploy-environments.md | 1 - 1 file changed, 1 deletion(-) diff --git a/website/docs/docs/deploy/deploy-environments.md b/website/docs/docs/deploy/deploy-environments.md index 4cb6017a151..3ff100927ef 100644 --- a/website/docs/docs/deploy/deploy-environments.md +++ b/website/docs/docs/deploy/deploy-environments.md @@ -206,7 +206,6 @@ In the dbt Cloud, navigate to **Deploy** -> **Environments** and then click **Cr -The "dbt version" should match the version used in production. Follow the steps outlined in [deployment credentials](#deployment-connection) to complete the remainder of the environment setup. From 84a7e089180e1a022eb4c83ae060dd2f6963a99e Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 11 Apr 2024 22:43:11 -0400 Subject: [PATCH 09/13] Updates based on feedback --- website/docs/docs/deploy/deploy-environments.md | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/website/docs/docs/deploy/deploy-environments.md b/website/docs/docs/deploy/deploy-environments.md index 15d0b7aa656..8913af88ea9 100644 --- a/website/docs/docs/deploy/deploy-environments.md +++ b/website/docs/docs/deploy/deploy-environments.md @@ -212,13 +212,15 @@ Follow the steps outlined in [deployment credentials](#deployment-connection) to // do we recommend specific credentials. -### Use cases +### Why use a staging environment -There are a variety of reasons to incorporate a staging environment into existing workflows, including (but not limited to): -- Securing the source of truth production environment -- Access control over sensitive data -- Limiting the amount of production data developers can access -- Protecting data access using cross project refs (if staging environments are defined in those projects) +Staging environments provide a layer of separation between you development and production deployment environment. It isolates the prod and pre-prod data, which aids in protecting sensitive information and limiting access to large data sets. Developers can edit job definitions in the staging environment while production is limited to only those who need access. It also helps to have additional verification steps between development and deployment. + +Let's say you have `Project A` and `Project B` and that `Project B` is downstream of `Project A` with cross-project refs configured in the models. With a staging environment configured in `Project A`, when developers are working in the IDE for `Project B`, those refs will resolve to the staging environment of `Project A`, rather than production. You'll get the same results with those refs when jobs are run in the staging environment (or other non-production deployments). Only the production environment will reference the production data, isolating the environment, reducing need to duplicate projects. + +It will also resolve refs to the staging environment of `Project B`for schemas that haven't been built yet. When you [defer](/docs/cloud/about-cloud-develop-defer) to a model inside the same project, it will further isolate that production data by resolving to staging. + +Additionally, the staging environment has it's own view in [dbt Explorer](/docs/collaborate/explore-projects) enabling you to have a full view of your prod and pre-prod data. ## Related docs From 77597f11fed60f3649f302a105e6d80d78ccb89e Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 11 Apr 2024 22:47:47 -0400 Subject: [PATCH 10/13] Update website/docs/docs/deploy/deploy-environments.md --- website/docs/docs/deploy/deploy-environments.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/deploy-environments.md b/website/docs/docs/deploy/deploy-environments.md index 4f315ac87c7..e5cd72aec1d 100644 --- a/website/docs/docs/deploy/deploy-environments.md +++ b/website/docs/docs/deploy/deploy-environments.md @@ -215,7 +215,7 @@ We recommend that the data warehouse credentials be for a dedicated user or serv Staging environments provide a layer of separation between you development and production deployment environment. It isolates the prod and pre-prod data, which aids in protecting sensitive information and limiting access to large data sets. Developers can edit job definitions in the staging environment while production is limited to only those who need access. It also helps to have additional verification steps between development and deployment. -Let's say you have `Project A` and `Project B` and that `Project B` is downstream of `Project A` with cross-project refs configured in the models. With a staging environment configured in `Project A`, when developers are working in the IDE for `Project B`, those refs will resolve to the staging environment of `Project A`, rather than production. You'll get the same results with those refs when jobs are run in the staging environment (or other non-production deployments). Only the production environment will reference the production data, isolating the environment, reducing need to duplicate projects. +Let's say you have `Project A` and `Project B` and that `Project B` is downstream of `Project A` with cross-project refs configured in the models. When developers are working in the IDE for `Project B`, those refs will resolve to the staging environment of `Project A`, rather than production. You'll get the same results with those refs when jobs are run in the staging environment (or other non-production deployments). Only the production environment will reference the production data, isolating the environment and reducing the need to duplicate projects. It will also resolve refs to the staging environment of `Project B`for schemas that haven't been built yet. When you [defer](/docs/cloud/about-cloud-develop-defer) to a model inside the same project, it will further isolate that production data by resolving to staging. From 5e144f288971a2e883215c1b5b4f18ba715f3a64 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Fri, 12 Apr 2024 10:08:35 -0400 Subject: [PATCH 11/13] Update website/docs/docs/deploy/deploy-environments.md --- website/docs/docs/deploy/deploy-environments.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/deploy/deploy-environments.md b/website/docs/docs/deploy/deploy-environments.md index e5cd72aec1d..1d74e120f76 100644 --- a/website/docs/docs/deploy/deploy-environments.md +++ b/website/docs/docs/deploy/deploy-environments.md @@ -215,7 +215,7 @@ We recommend that the data warehouse credentials be for a dedicated user or serv Staging environments provide a layer of separation between you development and production deployment environment. It isolates the prod and pre-prod data, which aids in protecting sensitive information and limiting access to large data sets. Developers can edit job definitions in the staging environment while production is limited to only those who need access. It also helps to have additional verification steps between development and deployment. -Let's say you have `Project A` and `Project B` and that `Project B` is downstream of `Project A` with cross-project refs configured in the models. When developers are working in the IDE for `Project B`, those refs will resolve to the staging environment of `Project A`, rather than production. You'll get the same results with those refs when jobs are run in the staging environment (or other non-production deployments). Only the production environment will reference the production data, isolating the environment and reducing the need to duplicate projects. +Let's say you have `Project B` downstream of `Project A` with cross-project refs configured in the models. When developers work in the IDE for `Project B`, those refs will resolve to the staging environment of `Project A`, rather than production. You'll get the same results with those refs when jobs are run in the staging environment (or other non-production deployments). Only the production environment will reference the production data, isolating the environment and reducing the need to duplicate projects. It will also resolve refs to the staging environment of `Project B`for schemas that haven't been built yet. When you [defer](/docs/cloud/about-cloud-develop-defer) to a model inside the same project, it will further isolate that production data by resolving to staging. From 31ef4204b3874dfdabb2741f108a88e770db64e8 Mon Sep 17 00:00:00 2001 From: Jeremy Cohen Date: Fri, 12 Apr 2024 21:20:16 +0200 Subject: [PATCH 12/13] Clarify motivations + use cases. Add Explorer screenshot --- .../docs/docs/deploy/deploy-environments.md | 16 ++++++++++++---- .../dbt-explorer/explore-staging-env.png | Bin 0 -> 278966 bytes 2 files changed, 12 insertions(+), 4 deletions(-) create mode 100644 website/static/img/docs/collaborate/dbt-explorer/explore-staging-env.png diff --git a/website/docs/docs/deploy/deploy-environments.md b/website/docs/docs/deploy/deploy-environments.md index 1d74e120f76..bd68b6794c3 100644 --- a/website/docs/docs/deploy/deploy-environments.md +++ b/website/docs/docs/deploy/deploy-environments.md @@ -213,13 +213,21 @@ We recommend that the data warehouse credentials be for a dedicated user or serv ### Why use a staging environment -Staging environments provide a layer of separation between you development and production deployment environment. It isolates the prod and pre-prod data, which aids in protecting sensitive information and limiting access to large data sets. Developers can edit job definitions in the staging environment while production is limited to only those who need access. It also helps to have additional verification steps between development and deployment. +There are two primary motivations for using a Staging environment: +1. An additional validation layer before changes are deployed into Production. You can deploy, test, and explore your dbt models in Staging. +2. Clear isolation between development workflows and production data. It enables developers to work in metadata-powered ways, using features like deferral and cross-project references, without accessing data in production deployments. -Let's say you have `Project B` downstream of `Project A` with cross-project refs configured in the models. When developers work in the IDE for `Project B`, those refs will resolve to the staging environment of `Project A`, rather than production. You'll get the same results with those refs when jobs are run in the staging environment (or other non-production deployments). Only the production environment will reference the production data, isolating the environment and reducing the need to duplicate projects. +:::info Coming soon: environment-level permissions +Provide developers with the ability to create, edit, and trigger ad hoc jobs in the Staging environment, while keeping the Production environment locked down. +::: + +Let's say you have `Project B` downstream of `Project A` with cross-project refs configured in the models. When developers work in the IDE for `Project B`, cross-project refs will resolve to the staging environment of `Project A`, rather than production. You'll get the same results with those refs when jobs are run in the Staging environment. Only the Production environment will reference the Production data, keeping the data and access isolated without the need for separate projects. + +If `Project B` also has a Staging deployment, then references to unbuilt upstream models within `Project B` will resolve to that environment, using [deferral](/docs/cloud/about-cloud-develop-defer), rather than resolving to the models in Production. This saves developers time and warehouse spend, while preserving clear separation of environments. -It will also resolve refs to the staging environment of `Project B`for schemas that haven't been built yet. When you [defer](/docs/cloud/about-cloud-develop-defer) to a model inside the same project, it will further isolate that production data by resolving to staging. +Finally, the staging environment has its own view in [dbt Explorer](/docs/collaborate/explore-projects), enabling you to have a full view of your prod and pre-prod data. -Additionally, the staging environment has it's own view in [dbt Explorer](/docs/collaborate/explore-projects) enabling you to have a full view of your prod and pre-prod data. + ## Related docs diff --git a/website/static/img/docs/collaborate/dbt-explorer/explore-staging-env.png b/website/static/img/docs/collaborate/dbt-explorer/explore-staging-env.png new file mode 100644 index 0000000000000000000000000000000000000000..ef218f962e085e617f54c3f8dd5322852ae2a570 GIT binary patch literal 278966 zcmeFZgUYYxa?y zefIsG`v-h?o|$KAs;j!IR;^z3u6M1TP(^tORAd5VC@3gYDM_(+P*8}SP*8Boh|ho; zOx)+hP*Bf>EJQ^Wr9?%+iVn7>7FH%uP?DjEY6$8|y*OD~aWO*XxiU!2NaXKeB$09h 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