From 1cc37d3fa17e60abc9b3b0fdbcc19f040be231d2 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Tue, 1 Oct 2024 14:12:42 -0700 Subject: [PATCH] Update website/blog/2024-10-05-snowflake-feature-store.md Co-authored-by: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> --- website/blog/2024-10-05-snowflake-feature-store.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/blog/2024-10-05-snowflake-feature-store.md b/website/blog/2024-10-05-snowflake-feature-store.md index f51a0137d43..39e47cad061 100644 --- a/website/blog/2024-10-05-snowflake-feature-store.md +++ b/website/blog/2024-10-05-snowflake-feature-store.md @@ -45,7 +45,7 @@ dbt is a perfect tool to promote collaboration between data engineers, ML engine Additionally, dbt Mesh makes maintaining domain ownership extremely easy by breaking up portions of our data projects and pipelines into connected projects where critical models can be published for consumption by others with strict data contracts enforcing quality and governance. This paradigm supports rapid development as each project can be kept to a maintainable size for its contributors and developers. Contracting on published models used between these projects ensures the consistency of the integration points between them. -Finally, dbt Cloud also provides [dbt Explorer](/docs/collaborate/explore-projects) — a perfect tool to catalog and share knowledge about organizational data across disparate teams. dbt Explorer provides a central place for information on data pipelines including lineage information, data freshness, and quality. Best of all, dbt Explorer updates every time dbt jobs run, ensuring this information is always up-to-date and relevant. +Finally, dbt Cloud also provides [dbt Explorer](/docs/collaborate/explore-projects) — a perfect tool to catalog and share knowledge about organizational data across disparate teams. dbt Explorer provides a central place for information on data pipelines, including lineage information, data freshness, and quality. Best of all, dbt Explorer updates every time dbt jobs run, ensuring this information is always up-to-date and relevant. ## What tech is at play?