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This packages aims to transform the RevenueCat data to cookiecutter datasets ready for analysis. This package does require to have the RevenueCat scheduled data exports enabled and loaded into Snowflake.
To get started specify the location of the table in Snowflake by setting the variables revenuecat_database
, revenuecat_schema
and revenuecat_table
. Optionally, it is possible to apply a filter by passing the revenuecat_filter
variable. Common practice is to filter the sandbox transactions out of the analysis data. To parse the custom subscriber attributes specify the revenuecat_custom_subscriber_attributes
dictionary with key, value pairs for the values to parse and the column names to provide it.
vars:
tasman_dbt_revenuecat:
revenuecat_database: "source_db"
revenuecat_schema: 'revenuecat'
revenuecat_table: "data_export"
revenuecat_filter: "is_sandbox = false"
revenuecat_custom_subscriber_attributes: {'my_value::text': 'my_column_name'}
This package currently only supports Snowflake.
This package has been written and is maintained by Tasman Analytics.
If you find a bug, or for any questions please open an issue on GitHub.