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DO NOT USE JOIN or subqueries! Suppose you work at a bank as a data analyst. Your main job is to analyze the data stored
DO NOT USE "JOIN" or subqueries!
Suppose you work at a bank as a data analyst. Your main job is to analyze the data stored in their database. The database has five tables, whose schema is shown as below. Primary keys attributes are underlined and foreign keys are noted in the superscript. Customer = {customerID, firstName, lastName, income, birthDate} Account = {accNumber, type, balance, branchNumber FK-Branch} Owns = {customer DFK-Customer, accNumberFK-Account} Transaction = {transNumber, accNumber"K-Account, amount} Employee = {ssn, firstName, lastName, salary, branchNumber FK-Branch Branch = {branch Number, branchName, managerSSNFK-Employce, budget} 17. Return the average income of customers from different age group (where age group is formed in a unit of 10 years, i.e., [0,10), [10,20),...). Note that you can calculate a customer's age by subtracting his/her birth year from the current year. 18. Return customer ID, first name, last name, income and the average account balance of customers who have at least three accounts, and whose last names begin with 's' and contain an 'e' (e.g. Steve) OR whose first names begin with 'a' and have the letter 'n' just before the last 2 letters (e.g. Anne). Note that to appear in the result customers must have at least 3 accounts and satisfy one (or both) of the name conditions. 19. Return account number, balance, sum of transaction amounts, and (balance - transaction sum) for accounts in the London branch that have at least 15 transactions, order by transaction sum. 20. Return customer ID, first name, last name of the customers who have a total account balance in all branches greater than $300,000 but has less than $100,000 in the total balance of their accounts at the New York branch Suppose you work at a bank as a data analyst. Your main job is to analyze the data stored in their database. The database has five tables, whose schema is shown as below. Primary keys attributes are underlined and foreign keys are noted in the superscript. Customer = {customerID, firstName, lastName, income, birthDate} Account = {accNumber, type, balance, branchNumber FK-Branch} Owns = {customer DFK-Customer, accNumberFK-Account} Transaction = {transNumber, accNumber"K-Account, amount} Employee = {ssn, firstName, lastName, salary, branchNumber FK-Branch Branch = {branch Number, branchName, managerSSNFK-Employce, budget} 17. Return the average income of customers from different age group (where age group is formed in a unit of 10 years, i.e., [0,10), [10,20),...). Note that you can calculate a customer's age by subtracting his/her birth year from the current year. 18. Return customer ID, first name, last name, income and the average account balance of customers who have at least three accounts, and whose last names begin with 's' and contain an 'e' (e.g. Steve) OR whose first names begin with 'a' and have the letter 'n' just before the last 2 letters (e.g. Anne). Note that to appear in the result customers must have at least 3 accounts and satisfy one (or both) of the name conditions. 19. Return account number, balance, sum of transaction amounts, and (balance - transaction sum) for accounts in the London branch that have at least 15 transactions, order by transaction sum. 20. Return customer ID, first name, last name of the customers who have a total account balance in all branches greater than $300,000 but has less than $100,000 in the total balance of their accounts at the New York branchStep by Step Solution
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