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Loading makes the dimension available in the semantic model for relationships and reports. It would address materialize a lookup dimension, not remove unnecessary sensitive source columns.

Subtotal records duplicate values already represented by detail rows. It may suit avoid source subtotal double counting, not remove unnecessary sensitive source columns.

Disable Load prevents redundant model storage while preserving downstream query logic. It is useful for staging-only transformation query, not for removing unnecessary sensitive source columns.

Fill Down propagates the most recent nonnull group label through a block. It is useful for restoring hierarchical group labels, not for business-defined category order.

Sequence-dependent transforms need a defined stable order. Its scope is deterministic previous-row calculation, not business-defined category order.

Fill Up propagates later nonnull values upward through preceding missing rows. It would address backfill missing records from following values, not business-defined category order.

Left joins preserve all order headers despite absent shipments. It would address preserve unshipped order rows, not find differences between warehouse inventories.

Appended rows preserve periodic observations while allowing time comparisons. That targets stack inventory monthly snapshots, not find differences between warehouse inventories.

Merge brings matched descriptive fields into the transaction query. It may suit enrich audit with product lookup attributes, not find differences between warehouse inventories.

Scenario pivot keeps grouping keys while materializing separate scenario value columns. Its scope is report scenario matrix at monthly product grain, not normalize a product-by-channel matrix.

Correct unpivot selection preserves identifying columns and yields intended long-format grain. That is meant for keep identifiers during monthly unpivot, not normalize a product-by-channel matrix.

Pivot needs one resulting value or a defined aggregate per output cell. It would address handle duplicate category values in pivot, not normalize a product-by-channel matrix.

Targeted replacement removes the specific formatting token without deleting other data. It would address precise M text preprocessing, not separate suffix after first delimiter.

Explicit conversion avoids treating UTC and local timestamps as interchangeable. It may suit UTC-to-approved-local reporting time, not separate suffix after first delimiter.

Branching on null prevents unintended arithmetic or string operations. It is useful for nullable custom M expression, not for separate suffix after first delimiter.

Unintended many-to-many matches multiply rows in merges. It is useful for detecting join-caused row inflation, not for restoring missing ingestion partitions.

Count reconciliation makes rejected data visible instead of silently losing records. Its scope is explain records excluded during cleaning, not restore missing ingestion partitions.

Consistent refresh windows prevent mismatched fact and dimension versions. It would address avoid mixed snapshot versions, not restore missing ingestion partitions.

Privacy by design avoids exposing data that cannot be safely published. It would address protect unstructured personal notes in public reports, not restrict loaded salary visibility by authorization.

Eliminating unneeded identifiers reduces report data exposure. That targets minimize unnecessary regulated data, not restrict loaded salary visibility by authorization.

Pseudonymization supports linkage without exposing the original identity in reports. It may suit join customers without showing direct identity, not restrict loaded salary visibility by authorization.

Ratio-of-sums avoids averaging regional rates with unequal sample sizes. Its scope is correctly weight regional response rates, not match planning targets to actual granularity.

Monthly aggregates reduce volume without losing specified monthly totals. That is meant for aggregate units to reporting grain, not match planning targets to actual granularity.

Distinct counts are not additive across days when the same customer appears repeatedly. It would address avoid overcounting unique monthly customers, not match planning targets to actual granularity.

Query duplication decouples the copy from later upstream modifications. It would address independent experimental query behavior, not hidden reusable staging logic.

Reference changes propagate and can invalidate downstream column references. It may suit fix query dependency after schema change, not hidden reusable staging logic.

Referenced queries inherit upstream corrections while supporting different downstream steps. It is useful for maintaining one reusable cleaned Orders source, not for hidden reusable staging logic.

Stable keys decouple fact identity from mutable descriptive names. It is useful for reliable product dimension relationship, not for separate conflicting fact grains.

The relationship's one-side key must be unique at its modeled grain. Its scope is unique dimension key integrity, not separate conflicting fact grains.

A complete conformed date dimension supports consistent time filters for multiple date roles. It would address model consistent order/ship calendar keys, not separate conflicting fact grains.

Global uniqueness must reflect the real source identity namespace. It would address avoid cross-company product-key collision, not preserve historical employee entity identity.

Timestamps can collide and lack stable identity guarantees. That targets retain stable event identifiers, not preserve historical employee entity identity.

OrderID is unique in the parent but repeated at transaction-line grain. It may suit correct order header and line cardinality, not preserve historical employee entity identity.