Which types of transformations are often best suited for raw data as an initial step in your dbt project?
(Multiple Select)
You need to create a model that combines data from a large fact table with smaller dimension tables. Performance is paramount, and the data in the fact table updates incrementally but frequently. Which materialization strategy is likely to provide the optimal balance of efficiency and freshness?
You've just added some schema tests to a critical model. Which command should you execute to ensure these new tests are run?
You want to include a detailed lineage diagram in your project documentation. Which of these approaches would you likely consider?
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