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Designing backfillable data pipelines using idempotent transformation code avoids the complications of ad-hoc SQL. When handling Slowly Changing Dimensions (SCDs), SCD Type 2 is preferred for its immutability and compressive qualities, though it involves complex surrogate key lookups. Alternatively, snapshot tables offer a simpler, reproducible model at the cost of higher data replication, making them ideal in cloud environments where storage is cheaper than engineering time.

Data pipelines and SCDs