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Suppose that you are provided with a dataset of anonymous credit card transaction data with the following attributes: credit-card-vendor credit-card-type credit-card-cashback-amount transaction-type-code transaction-type-code-description transaction-amount transaction-date

Suppose that you are provided with a dataset of anonymous credit card transaction data

with the following attributes:

credit-card-vendor

credit-card-type

credit-card-cashback-amount

transaction-type-code

transaction-type-code-description

transaction-amount

transaction-date

transaction-country-of-origin

card-holder-name

card-holder-ssn

card-holder-country

card-holder-credit-utilization-after-transaction

Consider the transaction-amount and card-holder-credit-utilization-after-transaction attributes to be the

values of analytic interest. Define two fact tables, for the transaction-amount and credit-utilization, and

at least three dimension tables. Provide both a logical and a physical model.

Once this is done, state the base and apex cuboids based on each fact table, as well as three additional

cuboids. Specify queries that would create these cuboids based on the physical schema defined in the

first part.

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