@hackproduct9: dbt materializations are easier when you stop memorizing definitions and start asking one question: Where should the computation live? 👇 🟣 Ephemeral → reusable SQL, compiled into downstream models 🔵 View → stores the SQL, computes when queried 🟢 Table → stores the result, faster for downstream reads My rule of thumb: Need reusable intermediate logic? → Ephemeral Need fresh results every query? → View Need performance + curated outputs? → Table / Incremental And one small correction that trips people up: There is no standard stable materialization in dbt. Most likely, you mean table or incremental. The best dbt model isn’t the fanciest one. It’s the one that puts compute in the right place. ⚙️ #dbt #DataEngineering #AnalyticsEngineering #DataWarehouse #SQL

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Thursday 20 August 2026 18:49:57 GMT