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Rapid Battle Cards 11–20

11 — Attribute vs Domain

  • Attribute: property that identifies/describes/measures.
  • Domain: complete valid value set/structure for that attribute.
  • Clue: property vs allowed values.

12 — Relational vs Dimensional

  • Relational: operational business-rule representation; normalized integrity.
  • Dimensional: analytics/navigation around measured processes.
  • Clue: transaction/business-rule accuracy vs analytical questions.

13 — Fact Table vs Dimension Table

  • Fact: measurement rows.
  • Dimension: descriptive query/report context.
  • Clue: measure vs “by what?”

14 — Grain vs Fact

  • Grain: what one fact row means.
  • Fact: the measurement structure/content.
  • Clue: row semantic level vs measured value.

15 — SCD Type 1 vs 2 vs 3

  • Type 1: overwrite.
  • Type 2: new row/version.
  • Type 3: new column for limited previous state.
  • Clue: ORC = Overwrite / Row / Column.

16 — Conformed Dimension vs Conformed Fact

  • Conformed dimension: shared consistent descriptive context.
  • Conformed fact: shared standardized measure definition.
  • Clue: shared context vs shared measurement meaning.

17 — Star vs Snowflake

  • Star: dimensions comparatively collapsed.
  • Snowflake: dimension hierarchies normalized into related tables.
  • Clue: collapsed vs normalized dimensions.

18 — Relational vs Object-Oriented

  • Relational: data + relationships/keys/business rules.
  • OO/UML: classes with attributes plus operations/methods and encapsulation.
  • Clue: methods/operations indicate OO.

19 — Fact-Based vs Attribute-Based Modeling

  • Fact-Based: objects, facts, roles, controlled verbalization; attributes are not the primary construct.
  • Clue: natural-language fact/role modeling.
  • Hub: primary business concept/key.
  • Link: relationship/integration among hubs.
  • Satellite: descriptive context/history.
  • Clue: concept vs relationship vs descriptive history.

Source anchors: current Battle Cards, cards 11–20.

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