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rakam provides verticalized reporting features for different teams's reporting needs so, your teams are not restricted in a single interface. rakam turns the questions you ask within user interface to SQL while hiding the complexity from the end-users. rakam doesn't load any data into your data warehouse, it expects you to have all the data inside your data-warehouse and lets you analyze the data without pulling the data outside your data warehouse, the single source of truth. Link to our blog post about the topic. rakam natively supports dbt core as the data modeling layer. rakam doesn't run your dbt transformations, instead connects to your GIT repository and synchronizes your dbt models automatically. rakam can create incremental dbt models, make use of them to speed up your queries and reduce the query costs on your database. When you define aggregates in your dbt resource files, rakam creates roll-up models programmatically hiding the complexity from end-users.