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mirnawong1 authored Sep 24, 2024
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Expand Up @@ -33,7 +33,8 @@ Starting July 2024, connection management has moved from the project level to th

<Lightbox src="/img/docs/dbt-cloud/cloud-configuring-dbt-cloud/connections-legacy-model.png" width="55%" title="Previous connection model"/>

The following connection management section describes these changes.
Connections created with APIs before this change cannot be accessed with the [latest APIs](https://docs.getdbt.com/dbt-cloud/api-v3#/operations/List%20Account%20Connections). dbt Labs recommends [recreating the connections](https://docs.getdbt.com/dbt-cloud/api-v3#/operations/Create%20Account%20Connection) with the latest APIs.


:::

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3 changes: 2 additions & 1 deletion website/docs/reference/resource-configs/grants.md
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Expand Up @@ -249,13 +249,14 @@ models:

<div warehouse="Redshift">

* Granting to / revoking from is only fully supported for Redshift users (not groups or roles).
* Granting to / revoking from is only fully supported for Redshift users (not [groups](https://docs.aws.amazon.com/redshift/latest/dg/r_Groups.html) or [roles](https://docs.aws.amazon.com/redshift/latest/dg/r_roles-managing.html)).

</div>

<div warehouse="Snowflake">

* dbt accounts for the [`copy_grants` configuration](/reference/resource-configs/snowflake-configs#copying-grants) when calculating which grants need to be added or removed.
* Granting to / revoking from is only fully supported for Snowflake roles (not [database roles](https://docs.snowflake.com/user-guide/security-access-control-overview#types-of-roles)).

</div>

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3 changes: 2 additions & 1 deletion website/docs/terms/data-catalog.md
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Expand Up @@ -74,8 +74,9 @@ Does the data team fully understand the data and its lineage? If they don’t, i
Do you have sophisticated data models and sources that the business knows how to use? If not, it may be worth focusing on building out the right metrics and models to be used first.

Is the culture data-driven? If business users are caught up in their own processes like Google spreadsheets, they may not even utilize a catalog. You don’t want to pay for a tool that is too sophisticated for where the business and data teams currently stand. Don’t rush the process.

### Data catalog tools
Data teams may choose to use third-party tools with data cataloging capabilities such as [Atlan](https://ask.atlan.com/hc/en-us/articles/4433673207313-How-to-set-up-dbt-Cloud), Alation, [Collibra](https://marketplace.collibra.com/listings/dbt-lineage-to-collibra-integration/), [Metaphor](https://support.metaphor.io/hc/en-us/articles/9302185081627), [Select Star](https://docs.selectstar.com/integrations/dbt/dbt-cloud), [Stemma](https://docs.stemma.ai/docs/stemma/getting-started/what-we-need-from-you/dbt-integration/), [Castor](https://docs.castordoc.com/integrations/dbt), and others. These tools often integrate directly with your data pipelines and dbt workflows and offer zoomed-in data cataloging and lineage capabilities.
Data teams may choose to use third-party tools with data cataloging capabilities such as [Atlan](https://ask.atlan.com/hc/en-us/articles/4433673207313-How-to-set-up-dbt-Cloud), Alation, [Collibra](https://marketplace.collibra.com/listings/dbt-lineage-to-collibra-integration/), [Metaphor](https://support.metaphor.io/hc/en-us/articles/9302185081627), [Select Star](https://docs.selectstar.com/integrations/dbt/dbt-cloud), [Secoda](https://docs.secoda.co/integrations/data-transformation-tools/readme-1/dbt), [Castor](https://docs.castordoc.com/integrations/dbt), and others. These tools often integrate directly with your data pipelines and dbt workflows and offer zoomed-in data cataloging and lineage capabilities.

## Conclusion

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2 changes: 1 addition & 1 deletion website/docs/terms/data-lineage.md
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Expand Up @@ -79,7 +79,7 @@ DAGs shouldn’t be dependent on manual updates. Instead, your DAG should be aut

### Third-party tooling

Data teams may also choose to use third-party tools with lineage capabilities such as [Atlan](https://ask.atlan.com/hc/en-us/articles/4433673207313-How-to-set-up-dbt-Cloud), Alation, [Collibra](https://marketplace.collibra.com/listings/dbt-lineage-to-collibra-integration/), [Datafold](https://www.datafold.com/column-level-lineage), Metaphor, [Monte Carlo](https://docs.getmontecarlo.com/docs/dbt-cloud), [Select Star](https://docs.selectstar.com/integrations/dbt/dbt-cloud), or [Stemma](https://docs.stemma.ai/docs/stemma/getting-started/what-we-need-from-you/dbt-integration/). These tools often integrate directly with your data pipelines and dbt workflows and offer zoomed-in data lineage capabilities such as column-level or business logic-level lineage.
Data teams may also choose to use third-party tools with lineage capabilities such as [Atlan](https://ask.atlan.com/hc/en-us/articles/4433673207313-How-to-set-up-dbt-Cloud), Alation, [Collibra](https://marketplace.collibra.com/listings/dbt-lineage-to-collibra-integration/), [Datafold](https://www.datafold.com/column-level-lineage), Metaphor, [Monte Carlo](https://docs.getmontecarlo.com/docs/dbt-cloud) or [Select Star](https://docs.selectstar.com/integrations/dbt/dbt-cloud). These tools often integrate directly with your data pipelines and dbt workflows and offer zoomed-in data lineage capabilities such as column-level or business logic-level lineage.

## Data lineage challenges

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