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joewood1972

Loving this list. One thing I would totally recommend though is to look at tools like DBT, as this supports a lot of these patterns out of the box (snapshots, materialized views, seeds for 'system tables' etc.). It also addresses the concerns with views and schema management.

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So I looked up DBT - it seems to be a company where the first thing I saw on their website was "Gen AI."

That doesn't inspire confidence in the longevity of their offering - but i'm also unclear exactly what it is they are offering. Can you give the audience the pitch?

Sure, DBT (Data Build Tool) has been around for a while. It's a way to manage SQL (and also Python) data pipelines - the "T" in ELT. Home page for DBT Core is here https://docs.getdbt.com/ (there is also a hosted DBT cloud premium offering). There are some good books on Data Engineering with DBT - I particularly liked "Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL" by Roberto Zagni.

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