Warehouse Toolkit 2nd... | Kimball & Ross - The Data
: Methods to track history when attributes change (e.g., when a customer moves to a new city). Type 1 : Overwrite the old data. Type 2 : Create a new row to preserve history (most common). Type 3 : Add a "previous value" column.
: Grouping small, miscellaneous flags and indicators into one table to keep the schema clean. Kimball & Ross - The Data Warehouse Toolkit 2nd...
Which of these would be most ?
: These store the quantitative metrics (measures) of a business process (e.g., sales amount, temperature, duration). : Methods to track history when attributes change (e
: Uses "Conformed Dimensions" (standardized lists like a master customer list) so different data marts can "talk" to each other. Kimball & Ross - The Data Warehouse Toolkit 2nd...
The 2nd edition provides a toolkit of specific patterns for common data problems: