
## Metadata
- Author: [[winnie|Winnie]]
- Full Title:: American's Next Topological Model
- Category:: #🗞️Articles
- Document Tags:: [[Data team topologies|Data Team Topologies]],
- URL:: https://roundup.getdbt.com/p/americans-next-topological-model
- Finished date:: [[2023-09-26]]
## Highlights
> Data teams have learned a lot from software teams, and will certainly learn much more, but one area we cannot emulate our software engineering peers is organizational topology ([View Highlight](https://read.readwise.io/read/01hb6bx8h51j4khebkwkysjk8n))
> instead of making arbitrary divisions based on standard business areas, focusing on greater alignment between the organization's knowledge graph and people graph. Far from [shipping the org chart](https://en.wikipedia.org/wiki/Conway%27s_law), this is an alignment that moves in both directions, organizing people around the ways data flows as much as organizing data projects around groups of people. ([View Highlight](https://read.readwise.io/read/01hb6bxt9fxxx2d0wpsp5tew8q))
> A common pattern to handle this setup today would be 'hub and spoke', using a central team to land and stage the data, then have the embeds build on top of this in separate areas of a shared project or in separate projects that import the central project (and potentially others ([View Highlight](https://read.readwise.io/read/01hb6c0ygh3xgxwy7vceed6e8w))
>  ([View Highlight](https://read.readwise.io/read/01hb6c14wfvpggvfvqh1b74jwb))
> Wouldn't it make more sense for the product analyst to own the entire transformation vertical for that data source? Why arbitrarily force them to go to a separate team to, say, unnest a JSON field differently, and all the ensuing downtime that handoff would take?
> On the other hand, our finance and marketing analysts are actually working from a shared set of components, but they are better served to separate past a certain level to simplify their projects and allow independent development ([View Highlight](https://read.readwise.io/read/01hb6c1j466xd8hjxgcydzp0my))
> Something like the below would make a lot more sense for our organization: ([View Highlight](https://read.readwise.io/read/01hb6c1s7wby0w9jatgtczwscn))
>  ([View Highlight](https://read.readwise.io/read/01hb6c1tctftny1e2nkgdt64qk))