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Create a new Microsoft Access database named DryCleaning

Create a new Microsoft Access database named DryCleaning

  • Create a new Microsoft Access database named DryCleaning.

    Note that Microsoft Access does not support the use of SQL scripts to create databases. In a Microsoft Word document, type the SQL script that you would use to create the database.

  • Add a table named Customers. In Microsoft Word, type the SQL script that you would use to create the table. Include the following fields:
    • CustomerNumber (AutoNumber, Primary Key, required)
    • FirstName (Text(25), required)
    • LastName (Text(25), required)
    • Phone (Text(12), required)
    • Email (Text(100))
  • Add a table named Invoice. In Microsoft Word, type the SQL script that you would use to create the table. Include the following fields:
    • InvoiceNumber (Number-Long Integer, required, Primary Key)
    • CustomerNumber (Foreign Key, Number-Long Integer, Required)
    • DateIn (Date/time, required)
    • DateOut (Date/time)
    • TotalAmount (Currency)
  • Add a table named Invoice_Item. In Microsoft Word, type the SQL script that you would use to create the table. Include the following fields:
    • ItemNumber (AutoNumber, Primary Key, required)
    • InvoiceNumber (Foreign Key,Number-LongInteger, required)
    • Item (Text(50), required)
    • Quantity (Number-Long integer, required)
    • UnitPrice (Currency, required)
  • n one Word document (SU_ITS3102_W5_A2_LastName_FirstInitial.docx), paste the SQL statement to meet the following criteria. Put a title above each as stated and save each query with the title name. You will add needed documentation from Part II to this document.
    • List the phone and last name of all the customers. Titled this01CustomerPhone-LastName
    • List the phone and last name of all the customers with the first name “Nikki.” Titled this 02NikkiPhoneLastName
    • List the phone, first name, and last name of all the customers having phone numbers with “2” and “3” as the second and third numbers, respectively. Titled this 03PhoneWith?23.
    • Determine the maximum and minimum total amount. Save As04AverageTotalAmount.
    • Show the first and last names of all the customers who have had an order with total amount greater than $100.00. Use a subquery and present the results first sorted by last names in the ascending order and then by first names in the descending order. Titled this05CustomersTotalAmountGreaterThan100.
    • From the Customers table, concatenate each customer’s last name and first name by using the comma-space-delimited technique; name the virtual column as “Full Name.” Titled this06CustomerLastFirstNamesConcantenated.
    • Use a subquery to show the first and last name of all the customers who have had an order with an item named “Dress Shirt”. Present the results first sorted by last name in the ascending order (Titled this07FirstLastNamesDressShirtSortedLastName) and then by first name in the descending order. Titled this08FirstLastNamesDressShirtSortedFirstNameDescending.
    • Use a join with a subquery to show the first name, last name, and total amount of all the customers who have had an order with an item named “Dress Shirt”. Present the results first sorted by last name in the ascending order (Titled this09FirstLastNamesDressShirtSortedLastNameWithTotal) and then by first name in the descending order. Titled this10FirstLastNamesDressShirtSortedFirstNameDescending
    • Calculate the average total amount. Titled this 11AverageTotalAmount.

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