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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.

Append adds rows from compatible tables without matching them on a key. Its scope is concatenate time-partitioned transactions, not preserve customers absent from purchase fact.

Merge joins columns from matching rows across two tables. That is meant for enrich fact rows with dimension attributes, not preserve customers absent from purchase fact.

A left anti join returns unmatched rows from the left input. It would address find orphan sales account references, not preserve customers absent from purchase fact.

Transpose exchanges rows and columns to repair rotated structure. It would address restore orientation of a rotated table, not produce summarized region cross-tab.

Unpivot transforms repeated category columns into attribute-value rows for analytical modeling. It may suit normalize wide month columns, not produce summarized region cross-tab.

Pivot turns distinct row attribute values into separate columns. It is useful for creating one column per survey question, not for produce summarized region cross-tab.

Text combination produces a single presentation field without changing the original keys. It is useful for creating formatted location descriptions, not for standardize textual join keys.

Text.Start extracts a fixed-length prefix without altering the source field. Its scope is derive product category prefix, not standardize textual join keys.

Delimiter-based splitting exposes distinct components used in filters and joins. It would address separate structured identifier components, not standardize textual join keys.

Grouping reduces detailed events to one count per page key. It would address count page views by identifier, not quantity-weighted unit price.

Multiple grouping keys define the aggregation grain and result totals. That targets monthly customer revenue summary, not quantity-weighted unit price.

Grouped minimum returns the earliest eligible date within each order group. It may suit first shipment timestamp per order, not quantity-weighted unit price.

List-to-table and record expansion flatten order objects to rows. Its scope is tabular JSON order collection, not load hierarchical XML purchases.

Record expansion extracts child properties while preserving parent row context. That is meant for flatten nested address properties, not load hierarchical XML purchases.

List expansion materializes child elements at transaction-line grain. It would address explode nested order line arrays, not load hierarchical XML purchases.

Query load disabling prevents unnecessary model tables while retaining transformation reuse. It would address avoid loading intermediate staging tables, not repair broken referenced query dependencies.

References reuse a base query expression and continue with distinct transformations. It may suit branch shared cleaned query logic, not repair broken referenced query dependencies.

Duplicate creates a separate step definition that no longer follows the original's edits. It is useful for isolate an experimental transformation copy, not for repair broken referenced query dependencies.

A row-wise M expression derives transaction-level amounts before model load. It is useful for derive gross amount in Power Query, not for calculate nonstandard fiscal quarter.

Unit conversion translates the measurement without changing its physical meaning. Its scope is hours-to-minutes duration conversion, not calculate nonstandard fiscal quarter.

Conditional Column implements a rule-based categorical transform from existing fields. It would address classify delays using a column rule, not calculate nonstandard fiscal quarter.

Header promotion converts label values into column names. It would address promote actual field names, not handle evolving source schema intentionally.

Removing metadata lines aligns the true header row to the first position. That targets skip decorative rows before header promotion, not handle evolving source schema intentionally.

Explicit rename steps improve model readability without changing source values. It may suit standardize expanded column captions, not handle evolving source schema intentionally.

Facts capture measurable events at a defined grain and reference dimensions. Its scope is preserve order-line fact grain, not multiple fact tables sharing product dimension.

Dimensions provide descriptive attributes and the one-side keys for fact filtering. That is meant for descriptive product dimension, not multiple fact tables sharing product dimension.

Snapshot facts record measures at an observation period and business grain. It would address monthly target snapshot model, not multiple fact tables sharing product dimension.

Descriptive labels are not guaranteed to identify one product. It would address stable product model relationship key, not complete calendar dimension key.

Slowly changing dimension versions require distinct keys to retain time-valid attributes. It may suit history-safe customer dimension key, not complete calendar dimension key.

Both columns determine the fact grain; dropping one creates collisions. It is useful for unique purchase-line identifier, not for complete calendar dimension key.