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You have been tasked with creating a data warehouse so the client

can analyse their sales in order to assist with their management decision making, in particular, they wish to be to answer the following questions:
-         Total of sales of each product by Year/Month/Week/Day
-         Total sales of products by supplier by Year/Month/Week/Day
-         Total sales by branch by Year/Month/Week/Day
-         Total sales of product by branch by Year/Month/Week/Day
-         Total sales by sales clerk by Year/Month/Week/Day
-         Total sales by product by sales clerk by Year/Month/Week/Day
- Total sales by product type by sales clerk by Year/Month/Week/Day
There are access to three data sources from which there is a need to draw the data. Below are the sources and the tables within them. These are discussed below (Primary Key, Foreign Key):
Source 1: Human Resources Database
The Human Resources (HR) database contains data about the people who are employed by The Cold Dog Marketing Company. You have been granted access to a VIEW that includes the data you may need for the various analyses required. It only includes details of employees currently employed by The Cold Dog Marketing Company in a Sales-related position. The view has been supplied to you as a text file.
 
The VIEW is called viewEmployee and has the following columns:
viewEmployee (EmpID, LastName, FirstName, DateStarted).


Source 2: Inventory System Database
The Inventory System maintains stock levels for all products sold by The Cold Dog Marketing Company as well as the details of the Supplier. There are two tables to which you have been granted access. The Product table, and the Supplier table. They are structured as below:


PRODUCT (ProductNum, ProductName, SupplierNum, ProductType)
SUPPLIER (SupplierNum, SupplierName, Country)


Source 3: Sales Database
The Sales database is an oracle database (luckily for you, it's hosted on arion.murdoch.edu.au and owned by SICT394AssignTL - you have SELECT privileges on these tables)
 
SALE (SaleID, ClerkID, CustomerID, SaleDate,)
SALE_LINE_ITEM (SaleID, LineID, ProductID, ProductPrice, Quantity)
SALE_CLERK (Clerk_ID, Clerk_Name, BranchID)
CUSTOMER (CustomerID, FamilyName, GivenName, Address, Suburb, State, PostCode)
PRODUCT (ProductID, ProductName)
BRANCH (BranchID, BranchPostCode)


My questions:

-Based on the list of questions the client wants answered (listed above),what is the most appropriate level of granularity for your data warehouse. Why is this level and not the other is the most appropriate?
-Based on the answer to the first question, what is the appropriate Star Schema that will support the analyses as listed above

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