Question
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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