Q. What is the primary nature of Type 1 changes in dimension tables?

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Q. In Type 1 changes, when should the old value in the source system be preserved?

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Q. What is the method for applying Type 1 changes to the data warehouse?

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Q. When is Type 2 change applied to dimension tables?

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Q. What is the essential requirement for implementing Type 2 changes in a data warehouse?

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Q. How are orders for a customer with Type 2 changes in marital status separated in the data warehouse?

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Q. What is the method for applying Type 2 changes to the data warehouse?

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Q. What is the primary nature of Type 3 changes in dimension tables?

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Q. When are Type 3 changes typically used in data warehousing?

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Q. What is the purpose of Type 3 changes in data warehousing?

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Q. What is the characteristic of Type 3 changes related to tracking orders through transitions?

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Q. How do Type 3 changes enable tracking forward and backward?

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Q. What is the method for applying Type 3 changes to the data warehouse?

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Q. What is the key characteristic of Type 3 changes in dimension tables?

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Q. What is one of the considerations when dealing with large dimensions in a data warehouse?

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Q. What can be a characteristic of a large dimension in a data warehouse?

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Q. Which dimension is expected to be gigantic for enterprises dealing with the general public?

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Q. What is a challenge when dealing with large dimensions in a data warehouse?

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Q. What is a common characteristic of large dimensions in data warehousing?

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Q. How do multiple hierarchies within a dimension impact users in different departments?

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