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Left joins preserve all order headers despite absent shipments. It would address preserve unshipped order rows, not stack inventory monthly snapshots.

Merge brings matched descriptive fields into the transaction query. It may suit enrich audit with product lookup attributes, not stack inventory monthly snapshots.

Anti joins return unmatched identifiers from a chosen left side. It is useful for find differences between warehouse inventories, not for stack inventory monthly snapshots.

Unpivoting makes each channel a normal categorical dimension. It is useful for normalize a product-by-channel matrix, not for keeping identifiers during monthly unpivot.

Scenario pivot keeps grouping keys while materializing separate scenario value columns. Its scope is report scenario matrix at monthly product grain, not keep identifiers during monthly unpivot.

Pivot needs one resulting value or a defined aggregate per output cell. It would address handle duplicate category values in pivot, not keep identifiers during monthly unpivot.

Targeted replacement removes the specific formatting token without deleting other data. It would address precise M text preprocessing, not nullable custom M expression.

Delimiter-aware functions extract text components without fixed-position assumptions. That targets separate suffix after first delimiter, not nullable custom M expression.

Explicit conversion avoids treating UTC and local timestamps as interchangeable. It may suit UTC-to-approved-local reporting time, not nullable custom M expression.

Count reconciliation makes rejected data visible instead of silently losing records. Its scope is explain records excluded during cleaning, not detect join-caused row inflation.

Ingestion filters determine which expected partitions appear in the model. That is meant for restore missing ingestion partitions, not detect join-caused row inflation.

Consistent refresh windows prevent mismatched fact and dimension versions. It would address avoid mixed snapshot versions, not detect join-caused row inflation.

Privacy by design avoids exposing data that cannot be safely published. It would address protect unstructured personal notes in public reports, not minimize unnecessary regulated data.

Pseudonymization supports linkage without exposing the original identity in reports. It may suit join customers without showing direct identity, not minimize unnecessary regulated data.

Model-level protection and RLS/OLS can restrict sensitive details. It is useful for restrict loaded salary visibility by authorization, not for minimize unnecessary regulated data.

Mixing grains directly can duplicate target values across transaction lines. It is useful for match planning targets to actual granularity, not for aggregate units to reporting grain.

Ratio-of-sums avoids averaging regional rates with unequal sample sizes. Its scope is correctly weight regional response rates, not aggregate units to reporting grain.

Distinct counts are not additive across days when the same customer appears repeatedly. It would address avoid overcounting unique monthly customers, not aggregate units to reporting grain.

Query duplication decouples the copy from later upstream modifications. It would address independent experimental query behavior, not maintain one reusable cleaned Orders source.

Disabled load avoids model clutter without deleting the expression. That targets hidden reusable staging logic, not maintain one reusable cleaned Orders source.

Reference changes propagate and can invalidate downstream column references. It may suit fix query dependency after schema change, not maintain one reusable cleaned Orders source.

The relationship's one-side key must be unique at its modeled grain. Its scope is unique dimension key integrity, not reliable product dimension relationship.

Mixing transaction and aggregate grain in one fact leads to unintended sum duplication. That is meant for separate conflicting fact grains, not reliable product dimension relationship.

A complete conformed date dimension supports consistent time filters for multiple date roles. It would address model consistent order/ship calendar keys, not reliable product dimension relationship.

Global uniqueness must reflect the real source identity namespace. It would address avoid cross-company product-key collision, not retain stable event identifiers.

OrderID is unique in the parent but repeated at transaction-line grain. It may suit correct order header and line cardinality, not retain stable event identifiers.

Surrogate keys isolate identity from mutable natural attributes. It is useful for preserving historical employee entity identity, not for retain stable event identifiers.

Left outer join retains left-side customers even without matching orders. It is useful for preserving customers absent from purchase fact, not for enrich fact rows with dimension attributes.

Append adds rows from compatible tables without matching them on a key. Its scope is concatenate time-partitioned transactions, not enrich fact rows with dimension attributes.

A left anti join returns unmatched rows from the left input. It would address find orphan sales account references, not enrich fact rows with dimension attributes.

Transpose exchanges rows and columns to repair rotated structure. It would address restore orientation of a rotated table, not create one column per survey question.

Aggregated pivoting creates cross-tab columns from long fact data. That targets produce summarized region cross-tab, not create one column per survey question.

Unpivot transforms repeated category columns into attribute-value rows for analytical modeling. It may suit normalize wide month columns, not create one column per survey question.