SL for product analytics blog #4626
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jasnonaz
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Dec 12, 2023
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| Let’s walk through the DAG from left to right: First, we have raw tables from the Semantic Layer Server loaded into our warehouse, next we have staging models where we apply business logic and finally a clean, normalized `fct_semantic_layer_queries` model. Finally, we built a semantic model named `semantic_layer_queries` on top of our normalized fact model. This is a typical DAG for a dbt project that contains semantic objects. Now let’s zoom in to the section of the DAG that contains our semantic layer objects and look in more detail at how we defined our semantic layer product metrics. | ||
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| ## How we build semantic models and metrics |
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Do we want to link to the "How we build our metrics" best practices doc in this section? Bonus points if we remove the beta tag in that guide
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Done! Where is the beta tag? I can't find it.
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i'm lurking but Jason might mean this :::tip::: callout @Jstein77
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Ah I see it now. Removed!
| measure: queries | ||
| ``` | ||
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| *Queries metric configuration** |
Co-authored-by: Jason Ganz <[email protected]>
Co-authored-by: Jason Ganz <[email protected]>
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What are you changing in this pull request and why?
Add dev blog on how to build a pipeline for a product launch using the semantic layer.
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