This PR aims to provide a first draft for business KPIs, at this stage **quite minimal**. It mostly contains a MTD and Monthly display approach. No dimensions are created. The models created are: - **int_dates_mtd**: mainly it reads from int_dates to retrieve those days needed for a MTD/monthly display - **int_core__mtd_booking_metrics**: it contains the booking metrics, ending in a format of date|value|value last year|increment --> here we could add, in the future, additional metrics from other sources (ex: guest journey, etc) - **int_core__mtd_aggregated_metrics**: it transforms the data coming from the different mtd intermediate sources to be easily displayed in the dashboard. This is a good candidate for macros :) - **core__mtd_aggregated_metrics**: copy-paste of the its int_core version, including a bit of model documentation The dashboard is functional but in another PR. I can show you how it looks like at the moment you are going to check the PR Related work items: #17214
50 lines
1.4 KiB
YAML
50 lines
1.4 KiB
YAML
# Name your project! Project names should contain only lowercase characters
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# and underscores. A good package name should reflect your organization's
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# name or the intended use of these models
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name: "dwh_dbt"
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version: "1.0.0"
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config-version: 2
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# This setting configures which "profile" dbt uses for this project.
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profile: "dwh_dbt"
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# These configurations specify where dbt should look for different types of files.
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# The `model-paths` config, for example, states that models in this project can be
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# found in the "models/" directory. You probably won't need to change these!
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model-paths: ["models"]
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analysis-paths: ["analyses"]
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test-paths: ["tests"]
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seed-paths: ["seeds"]
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macro-paths: ["macros"]
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snapshot-paths: ["snapshots"]
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clean-targets: # directories to be removed by `dbt clean`
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- "target"
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- "dbt_packages"
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# Configuring models
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# Full documentation: https://docs.getdbt.com/docs/configuring-models
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# In this example config, we tell dbt to build all models in the example/
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# directory as views. These settings can be overridden in the individual model
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# files using the `{{ config(...) }}` macro.
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models:
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+unlogged: true
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dwh_dbt:
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staging:
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+materialized: table
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+schema: staging
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intermediate:
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+materialized: view
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+schema: intermediate
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reporting:
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+materialized: table
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+schema: reporting
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seeds:
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dwh_dbt:
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schema: staging
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vars:
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"dbt_date:time_zone": "Europe/London"
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"start_date": "'2020-01-01'"
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