What is the smallest interval of incremental data load to the FAW data warehouse?

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Multiple Choice

What is the smallest interval of incremental data load to the FAW data warehouse?

Explanation:
In FAW, incremental loads are designed to refresh the warehouse with the latest changes from source systems without reloading everything. The standard data pipeline cadence is a daily refresh, which is the smallest interval the out‑of‑the‑box FAW architecture supports for incremental loading. This means changes collected during the day are applied in one daily run, keeping data reasonably fresh while keeping ETL complexity manageable. Scheduling something as frequent as hourly would require a different, non‑standard setup for real‑time or near‑real‑time loading, which isn’t part of the default incremental load mechanism. Waiting longer, like weekly or monthly, would increase data latency. So, the smallest interval you typically use for incremental loads in FAW is daily.

In FAW, incremental loads are designed to refresh the warehouse with the latest changes from source systems without reloading everything. The standard data pipeline cadence is a daily refresh, which is the smallest interval the out‑of‑the‑box FAW architecture supports for incremental loading. This means changes collected during the day are applied in one daily run, keeping data reasonably fresh while keeping ETL complexity manageable. Scheduling something as frequent as hourly would require a different, non‑standard setup for real‑time or near‑real‑time loading, which isn’t part of the default incremental load mechanism. Waiting longer, like weekly or monthly, would increase data latency. So, the smallest interval you typically use for incremental loads in FAW is daily.

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