Resetting the data warehouse deletes all data. What steps are required to repopulate your data in the data warehouse?

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Multiple Choice

Resetting the data warehouse deletes all data. What steps are required to repopulate your data in the data warehouse?

Explanation:
Resetting the data warehouse clears the data but keeps the structure in place, so repopulating it relies on the data integration processes you have in place. The right step is to activate each data pipeline for the functional areas. Each pipeline handles extracting data from its source, transforming it, and loading it into its designated area of the warehouse. Without reactivating these pipelines, there’s no mechanism to reload the data, and nothing will populate automatically. Starting to load immediately isn’t correct because pipelines are typically paused or inactive after a reset and must be explicitly enabled. The idea that reset doesn’t affect pipelines or that data will auto-fill is inaccurate—there needs to be an explicit run of the ETL/ELT processes. Recreating the data warehouse isn’t necessary since the schema remains and pipelines can repopulate the data.

Resetting the data warehouse clears the data but keeps the structure in place, so repopulating it relies on the data integration processes you have in place. The right step is to activate each data pipeline for the functional areas. Each pipeline handles extracting data from its source, transforming it, and loading it into its designated area of the warehouse. Without reactivating these pipelines, there’s no mechanism to reload the data, and nothing will populate automatically. Starting to load immediately isn’t correct because pipelines are typically paused or inactive after a reset and must be explicitly enabled. The idea that reset doesn’t affect pipelines or that data will auto-fill is inaccurate—there needs to be an explicit run of the ETL/ELT processes. Recreating the data warehouse isn’t necessary since the schema remains and pipelines can repopulate the data.

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