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Separate development assets prevent unapproved changes to certified enterprise metrics. It would address isolate experimental model changes, not preserve governed data-access semantics.

Central models keep shared measures and relationships under one steward. It may suit consistent enterprise KPI reuse, not preserve governed data-access semantics.

Dataflows centralize Power Query transformation logic for multiple downstream consumers. It is useful for reusable data preparation across reports, not for preserving governed data-access semantics.

DirectQuery reads current source records during visual evaluation subject to source latency. It is useful for near-live source evaluation, not for reuse DAX measure definitions.

Direct Lake is optimized for underlying OneLake Delta storage when its supported conditions are met. Its scope is analytical access to OneLake storage, not reuse DAX measure definitions.

Import keeps compressed rows available without a live database connection during interaction. It would address offline report analysis during source outage, not reuse DAX measure definitions.

Least-privileged source identities reduce risk of broad database control. It would address limit refresh credential privilege, not audit identity used during data refresh.

Workload identity separates unattended service access from personal user credentials. That targets protected unattended API access, not audit identity used during data refresh.

Access removal terminates permissions independently of data source refresh settings. It may suit revoke expiring collaborator authorization, not audit identity used during data refresh.

Shared parameters centralize per-environment database selection without editing all scripts. Its scope is controlled subsidiary source parameterization, not consistent parameterized threshold management.

Correctly typed parameters avoid incompatible M comparisons and filter errors. That is meant for repair date parameter typing, not consistent parameterized threshold management.

Suggested or fixed permitted values constrain deployment configuration to approved regions. It would address restrict dynamic source choices, not consistent parameterized threshold management.

Cleaning repeated header rows avoids treating captions as business data. It would address correct multi-block flat-file import, not complete paged API extraction.

Column projection reduces data transfer and downstream model memory usage. It may suit trim acquired data to required fields, not complete paged API extraction.

Matching source grain can reduce row volume without losing the needed report detail. It is useful for selecting fit-for-purpose source granularity, not for complete paged API extraction.

Azure SQL connectivity retrieves supported tables and queries from the managed relational service. It is useful for direct Azure SQL ingestion, not for querying Fabric Lakehouse assets directly.

The Excel connector reads workbook tables and ranges into Power Query. Its scope is exploratory workbook import, not query Fabric Lakehouse assets directly.

Build access allows creating content based on an approved semantic model without acquiring raw credentials. It would address authorized reuse of shared model, not query Fabric Lakehouse assets directly.

Endorsed datasets have a known accountable owner and reviewed metric meaning. It would address select trusted KPI source, not accountable production connector ownership.

Source-of-truth governance prevents adopting unverified alternate totals. That targets resolve competing revenue sources, not accountable production connector ownership.

Data minimization reduces sensitive exposure and model footprint. It may suit minimize personally identifying source fields, not accountable production connector ownership.

Removing unfit records from the trend prevents invalid numeric inference while retaining a documented exception path. It is useful for exclude incomplete safety-critical readings, not for preserving meaning of unreported quantities.

A policy-defined missing-category value keeps segmentation explicit without fabricating observed classes. That is meant for categorize accepted unknown values, not preserve meaning of unreported quantities.

Reconciliation with approved source data repairs missing timestamps without arbitrary defaults. It would address recover missing event times from trusted keys, not preserve meaning of unreported quantities.

Uppercase normalization unifies equivalent code text without changing its identifiers. It would address normalize case of state codes, not normalize leading and trailing spaces.

Arbitrary space removal can change identifiers that are not logically equivalent. That targets protect meaningful internal identifier spacing, not normalize leading and trailing spaces.

Cleaning strips control characters that are not visible but affect comparisons. It is useful for removing nonprinting text artifacts, not for normalize leading and trailing spaces.

Distribution summaries expose frequency and variation of column values. It is useful for inspecting categorical value frequency, not for inspecting completeness and error rates.

Column profiling gives distributions and statistics for the current profiling scope. Its scope is inspect numeric profiling statistics, not inspect completeness and error rates.

Full-dataset profiling can reveal issues excluded from a top-rows sample. That is meant for validate anomalies beyond sampled rows, not inspect completeness and error rates.

Decimal typing retains fractional values required by financial calculations. That targets preserve noninteger numeric amounts, not parse and type actual calendar dates.

Text represents an identifier without performing arithmetic or dropping leading zeros. It may suit preserve leading-zero identifiers, not parse and type actual calendar dates.

Offset-aware transformation prevents comparisons between inconsistent local clocks. It is useful for standardize timezone-bearing event timestamps, not for parse and type actual calendar dates.