![rw-book-cover](https://www.getdbt.com/ui/img/blog/mesh-visualization.jpg)
## Metadata
- Author: [[dbt Labs]]
- Full Title:: Overcoming Complexity: The Biggest New DBT Cloud Features From Coalesce 2023
- Category:: #🗞️Articles
- Document Tags:: [[dbt]],
- URL:: https://www.getdbt.com/blog/new-dbt-cloud-features-announced-at-coalesce-2023?ref=blef.fr
- Read date:: [[2023-10-21]]
## Highlights
> Rather than relying on a single, monolithic project that is easily bottlenecked, domain teams can now own their own dbt projects. These projects seamlessly build on each other, with interfaces between them governed by [contracts, versions, and access controls](https://www.getdbt.com/blog/dbt-core-v1.5) that are baked directly into dbt. ([View Highlight](https://read.readwise.io/read/01hd8dxa7ks4sxjynktjq713mq))
> ![[Pasted image 20231231105547.png]] ([View Highlight](https://read.readwise.io/read/01hd8dwvwjwx3e8gm3vkgsq1mx))
^5f92b0
> dbt Mesh isn’t a single feature. It’s an architecture involving multiple dbt projects, each aligned to a business domain, interfacing with and building off of each other. It’s a way for you to control the complexity of your data environment to unlock better collaboration at scale. ([View Highlight](https://read.readwise.io/read/01hd8dzeyz57jbhbxq58r81phn))
Bad news: instead of fixing dbt docs, we are pushed into dbt cloud.
> Unlike Docs, dbt Explorer is performant even for massive dbt deployments, and updates live after each run. ([View Highlight](https://read.readwise.io/read/01hd8e1z2hp51jm7v4wrwqencd))
> Importantly, dbt Explorer also natively supports multi-project lineage, making it an essential tool for organizations adopting a dbt Mesh architecture. ([View Highlight](https://read.readwise.io/read/01hd8e26n7a2sr3488rr0ckctd))