creating a relational database that will track employee names, IDs, positions
Imagine you work for an independent grocery store with 20 employees. The business owner has tasked you with creating a relational database that will track employee names, IDs, positions (e.g., cashier, manager, clerk, or night crew), and salaries.
Create a relational database table in Microsoft® Excel® for the grocery store using the provided data points.
Apply the universal rules (unique primary keys, unique column names, no duplicate rows) to your table.
Include all necessary null values.
Display in the table the requested database queries:
- INSERT INTO Account: VALUES (188820, ‘Wendall Glass’, $12/h)
- UPDATE Account: Set salary = $12/h WHERE ID = 128872
- DELETE FROM Account WHERE ID = 244332
Calculate the grocery store’s SUM salary and the AVG salary per position.
1. Blanche Dishner – 438927 – Manager – $25/h
2. 372991 – Night crew – $17/h
3. Luciano Sloney – 300126 – Night crew – $17/h
4. Dorris Goodsell – Cashier – $15/h
5. Sybil Fain – 119325 – Clerk – $11/h
6. Shaun McNeil – 200743 – Cashier – $13/h
7. Olen Wigley – 222345 – Cashier – $14/h
8. Dovie Seawood – 109321 – Clerk – $12/h
9. Magdalen Mullaney – 256921 – Cashier
10. Salena Souza – 185549 – Clerk – $12/h
11. Paige Alvarez – 132943 – Clerk – $11/h
12. Cassy Lundin – 391285 – Night crew
13. Tajuana Stoval – 491621 – Manager – $23/h
14. Joaquina Piasecki – 185392 – Clerk – $13/h
15. Janiece Abelson – 244332 – Cashier – $13/h
16. Rogelio Peppler – 128872 – Clerk – $11/h
17. Fatima Haymaker – 100321 – $13/h
18. Rico Fairbank – 318821 – Night crew – $16/h
19. Trey Peloquin – 488326 – Manager – $24/h
20. Paulene Thibeau – 193931 – Clerk – $12/h