INSTRUCTION 1. Create a Crow's Foot ER diagram for each business rule. The diagrams should clearly describe and identify each entity and show relationships. Show all cardinality, primary keys, and foreign keys. Use verbs to clarify relationships. Show only the attributes contained explicitly in the case/ business rules. 2. You must simplify M: N relationships if any. Steps to do: The database design process's requirements collection and analysis phase has provided the following data requirements for a small neighbourhood pharmacy called Neighbourhood Drug Mart (NDM for short) that maintains and dispenses medications to patients. a) NDM has various outlets throughout the Niagara Region. Each Outlet has a number, address, phone number and a manager who supervises the Outlet's operation at each site. Each Outlet maintains historical data about managers, such as who previously managed the Outlet. A manager is also an employee; a manager may manage the same Outlet more than once at different times. The Outlets record the following data on each employee, employee number, name (first and last name), home address, home phone number, date of birth (DOB), sex, Social Insurance Number (SIN), date joined the Company, job title, and salary.
INSTRUCTION 1. Create a Crow's Foot ER diagram for each business rule. The diagrams should clearly describe and identify each entity and show relationships. Show all cardinality, primary keys, and foreign keys. Use verbs to clarify relationships. Show only the attributes contained explicitly in the case/ business rules. 2. You must simplify M: N relationships if any. Steps to do: The database design process's requirements collection and analysis phase has provided the following data requirements for a small neighbourhood pharmacy called Neighbourhood Drug Mart (NDM for short) that maintains and dispenses medications to patients. a) NDM has various outlets throughout the Niagara Region. Each Outlet has a number, address, phone number and a manager who supervises the Outlet's operation at each site. Each Outlet maintains historical data about managers, such as who previously managed the Outlet. A manager is also an employee; a manager may manage the same Outlet more than once at different times. The Outlets record the following data on each employee, employee number, name (first and last name), home address, home phone number, date of birth (DOB), sex, Social Insurance Number (SIN), date joined the Company, job title, and salary.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question
Please only answer homework question part a) asap please, thanks.
![INSTRUCTION
1. Create a Crow's Foot ER diagram for each business rule. The diagrams should clearly
describe and identify each entity and show relationships. Show all cardinality, primary
keys, and foreign keys. Use verbs to clarify relationships. Show only the attributes
contained explicitly in the case/ business rules.
2. You must simplify M: N relationships if any.
Steps to do:
The database design process's requirements collection and analysis phase has provided the
following data requirements for a small neighbourhood pharmacy called Neighbourhood Drug
Mart (NDM for short) that maintains and dispenses medications to patients.
a) NDM has various outlets throughout the Niagara Region. Each Outlet has a number, address, phone
number and a manager who supervises the Outlet's operation at each site. Each Outlet maintains
historical data about managers, such as who previously managed the Outlet. A manager is also an
employee; a manager may manage the same Outlet more than once at different times. The Outlets record
the following data on each employee, employee number, name (first and last name), home address, home
phone number, date of birth (DOB), sex, Social Insurance Number (SIN), date joined the Company, job
title, and salary.
b) Each employee is associated with a single outlet but may be moved to an alternative outlet as required.
Even if that is the case, the database records the current Outlet where the employee works, not the
historical data.
c) NDM retains data on dependents for those employee members who have dependents. The data stored on
dependents include the dependent ID, name of the dependent, relationship to the staff, sex, and date of
birth.
d) NDM allocates prescription drugs to each Outlet; however, it may move medicines
between outlets as required. NDM maintains data on the movement of drugs between
stores. A drug number uniquely identifies each drug. You may add additional
characteristics/ attributes of a drug here.
e) NDM has clients/patients. The data stored on clients include the client number, name
(first and last name), home address, phone number, date of birth, and driving licence
number. The client number uniquely identifies each client.
f) NDM maintains data on Doctors that may prescribe medications to patients. NDM
maintains the following data on each Doctor: physician ID (unique), name (first and last
name), work address, phone number, and date of birth (DOB).
g) An employee dispenses drugs prescribed by Doctors to clients/patients.
h) Represent the complete set of requirements in one ER diagram.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0167ecd3-7ce2-44a6-b364-153a450e1dc9%2F9bb9d779-644d-4e6b-bfd9-a7e61fc74207%2Fjsqasdfi_processed.png&w=3840&q=75)
Transcribed Image Text:INSTRUCTION
1. Create a Crow's Foot ER diagram for each business rule. The diagrams should clearly
describe and identify each entity and show relationships. Show all cardinality, primary
keys, and foreign keys. Use verbs to clarify relationships. Show only the attributes
contained explicitly in the case/ business rules.
2. You must simplify M: N relationships if any.
Steps to do:
The database design process's requirements collection and analysis phase has provided the
following data requirements for a small neighbourhood pharmacy called Neighbourhood Drug
Mart (NDM for short) that maintains and dispenses medications to patients.
a) NDM has various outlets throughout the Niagara Region. Each Outlet has a number, address, phone
number and a manager who supervises the Outlet's operation at each site. Each Outlet maintains
historical data about managers, such as who previously managed the Outlet. A manager is also an
employee; a manager may manage the same Outlet more than once at different times. The Outlets record
the following data on each employee, employee number, name (first and last name), home address, home
phone number, date of birth (DOB), sex, Social Insurance Number (SIN), date joined the Company, job
title, and salary.
b) Each employee is associated with a single outlet but may be moved to an alternative outlet as required.
Even if that is the case, the database records the current Outlet where the employee works, not the
historical data.
c) NDM retains data on dependents for those employee members who have dependents. The data stored on
dependents include the dependent ID, name of the dependent, relationship to the staff, sex, and date of
birth.
d) NDM allocates prescription drugs to each Outlet; however, it may move medicines
between outlets as required. NDM maintains data on the movement of drugs between
stores. A drug number uniquely identifies each drug. You may add additional
characteristics/ attributes of a drug here.
e) NDM has clients/patients. The data stored on clients include the client number, name
(first and last name), home address, phone number, date of birth, and driving licence
number. The client number uniquely identifies each client.
f) NDM maintains data on Doctors that may prescribe medications to patients. NDM
maintains the following data on each Doctor: physician ID (unique), name (first and last
name), work address, phone number, and date of birth (DOB).
g) An employee dispenses drugs prescribed by Doctors to clients/patients.
h) Represent the complete set of requirements in one ER diagram.
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