1 | P a g e Unit ISY1002/ISY103 Database Management for Business Assessment Type Group Assignment – Database Project, Report and Presentation Assessment Number 3 Assessment Weighting 25% Total Marks...

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1 | P a g e Unit ISY1002/ISY103 Database Management for Business Assessment Type Group Assignment – Database Project, Report and Presentation Assessment Number 3 Assessment Weighting 25% Total Marks 100 Alignment with Unit and Course Unit Learning Outcome ULO2: Show an understanding of the fundamentals of database design, implementation, management, and maintenance, including consideration of appropriate data security ULO3: Implement a relational database using the Structured Query Language (SQL) Data Definition Language (DDL) ULO4: Demonstrate an ability to query a relational database using Structured Query Language (SQL) and Data Manipulation Language (DML) Graduate Attributes Assessed GA1:Communication GA2: Collaboration GA4: Critical Thinking & Problem Solving GA5: Flexibility Due Date/Time End of Week 11 – refer Moodle for date and time 2 | P a g e Aim: To give you practical experience in database modelling, normalization and writing SQL statements to query a relational database Assignment Summary: The project specification details provided in this document and you must use only given specifications to come up with your solution. Make appropriate assumptions where ever required. Please make sure that your group must meet your lecturer/tutor at least twice to update the progress of your assignment. Background Information for Sample Database Project: Australian Manufacturing Company (AMC) requires a database system to manage their stores, employees, products, suppliers, patrons and orders. The following information has been gathered about current business activities of AMC.  AMC has many stores in different cities across Australia. Each store has unique store number and other details like name, contact details (phone number, email address and fax number) and location details (postal address composed of street number, suburb, state and postcode).  There are many departments within each store, for example, HR, accounts, finance and sales etc. each department is uniquely identified by department number. AMC also records department title, phone number and email address.  Each store has a number of employees. Each department is supervised by a department supervisor and each store is managed by a store manager who both are employees of AMC. Each department has a single supervisor only i.e. the department supervisor is also the supervisor for all the employees work within that department.  Each employee is referenced by unique employee number, name (first and last names), address, mobile number, email, TFN, salary and joining date. An employee’s salary is recorded differently as per his or her employment type. Employees can be employed as fulltime or casual basis. For a fulltime staff, annual salary is recorded and hourly rate for a casual staff.  Each store creates payslips for all employees work in that store on a weekly basis. As a minimum payslip number, no of hours worked, employee detail, store detail and gross pay are recorded.  AMC sales different products like fashion, health, beauty, electronics etc. Each product is characterised by product number, name, brand, description and price.  Each product can be supplied by one or more supplier and each supplier can supply one or many products. AMC also keeps appropriate details of their suppliers.  Each store maintains an inventory of their products available for sale. The quantity of each product available in store and the quantity ordered are kept.  AMC patron visits the store and shops in the store. Each customer is characterised by customer number, name (first and last names), mobile number and address.  A patron may place orders. An order contains one or many products at a time. A store keeps track of order number, order date, product(s) ordered and quantity ordered for each product. 3 | P a g e The proprietors of AMC have appointed your group as Database System Consultant to analyse, design and develop conceptual data model and physical database. They want a software/online application in future to be built on the database you design so that the operation of the AMC is greatly improved. Your created models must accommodate the provided requirements. It is understandable that the provided information may not sufficient to create model that centralise all the data appropriately. You are free to make assumptions about their business activities if require. Make sure you record your assumptions. System Requirements: The system is a prototype system and as such is not a full production version. You will be required to enter a representative sample data into your tables in order to test the design and operation of your database. Project Specification: 1. Part A: Entity Relationship Diagram (20 marks) 1. Your first task is to study the Case study requirements and gather as much knowledge to list all the main Entities and attributes. 2. Create an Entity Relationship Diagram (ERD) to help you decide on the relationships. Your entity relation diagram that models your database design should: i. Include all entities, relationships (including names) and attributes. ii. Identify primary and foreign keys. iii. Include cardinality/ multiplicity and show using crow’s feet or UML notation. iv. Include participation (optional / mandatory) symbols if applicable. The ERD should be created as part of a Microsoft Word document. Hand-drawn diagrams will not be accepted. It is recommended that you complete your ERD using Draw.io, Visio or try www.gliffy.com (Search for ERD gliffy to get started). 2. Part B: Normalisation (10 marks) 1. Normalise all entities and relationships in optimal normal form. Provide the normalised schema and discuss the level of normalisation achieved for each relation. You goal should be normalise all entities in 3NF. Provide the reasons for any relation that is not maintained in 3NF. 3. Part C: Relational schema and MySQL database (35 marks) 1. Create relational schema that matches ERD and normalised schemas you created in Part A and B. The schema should include suitable data validation, integrity and referential integrity constraints, for example, types and length of attributes, primary and foreign keys etc. Make sure you follow standards, naming conventions and notation. (10 Marks) http://www.gliffy.com/ 4 | P a g e 2. Using MySQL, you are required to develop a demonstration prototype system (database) that stores data for AMC stores, employees, products, suppliers, patrons and orders. Create a new database called AMCDB. Create tables according to your relational schema created in step 1. (20 Marks) Follow a standard naming convention for table names and also field names. Avoid using spaces and any special characters in table and field names. Use underscore_case or use camelCase to separate parts of a name. You are required to be consistent in tables’ name, fields’ name, data types, field size and key constraints with relational schema created in step 2. 3. Add at least three records into each table. (5 Marks) 4. Part D: SQL (24 marks) Use the AMCDB database that you created in MySQL to design and execute SQL queries that answer the following questions. Number your answers to each question clearly. The answer to each question must be tabulated as shown in the example below and include the SQL statement and also the output that is produced when you execute the statement in your database. The output includes the records that are listed and also the message that appears when you run the SQL statement. For example: Question 1: SQL: SELECT lName, position FROM Staff WHERE salary > 20000; Output: +-------+----------+ | lName | position | +-------+----------+ | Brand | Manager | | White | Manager | +-------+----------+ 2 rows in set (0.03 sec) Do not use screen captures to display the SQL statement or the output. You should right-click on the MySQL Command Prompt window; choose Mark and then press the [Enter] key to Copy and then Paste into your Word document that includes the answers to all questions. Format and indent the clauses in your SQL statements for better readability and understanding as shown in the example above. Statements must be syntactically and semantically correct. Format both the SQL and also the Output in Courier New 10 or 11 point. 5 | P a g e 1. List the full name of Patrons, phone number and address in the descending order of customer number. The full name is comprised of first and last name joined with single space. Use the alias Customer full name for the composed column heading. (2 marks) 2. List all the products having price less than $100. (2 marks) 3. List the product number, product title, quantity ordered, unit price and total amount per product (unit price * quantity ordered) for order having order number 1005. (3 marks) 4. List name, full address and fax number of stores that has the word ‘George’ anywhere in the street component of address. Your query should consider the case sensitivity of the street as well i.e. the stores with words ‘George’, ‘GEORGE’, ‘george’, ‘GeorGe’ etc. in street should be returned by your query too. (2 marks) 5. List all the orders having at least two different products ordered. (2 marks) 6. List customer number, name and address of all the customers who has not placed any order. (2 minutes) 7. Retrieve first name, last name and employee number of all the employees along with department name and store name where they work. (3 marks) 8. For each store, display store name and number of employees works in account department. (2 marks) 9. List all the orders placed for financial year 2018 i.e. orders placed after 30/06/2017 and before 01/07/2018. (2 marks) 10. Retrieve customer number and the total number of orders placed by each customer. (2 marks) 11. For each order, retrieve the order number, order date and number of products ordered in it
Answered Same DaySep 27, 2021ISY103

Answer To: 1 | P a g e Unit ISY1002/ISY103 Database Management for Business Assessment Type Group Assignment –...

Neha answered on Oct 10 2021
144 Votes
45204/1.sql
select Id,concat(firstName, ' ',lastName) as CustomerName, Phone,Address from customer order by Id desc
45204/10.sql
Select customer.Id As CustomerId,count(orderdetail.Id) As NumberOfOrders from customer
inner join orderdetail on orderdetail.customerId = customer.Id
group by customer.Id;
45204/11.sql
Select Id,
Date, count(ProdId) as NumberOfProducts from orderdetail group by ProdId order by Id desc;
45204/2.sql
select * from product where price<100;
45204/3.sql
select orderdetail.Id, Name, Quantity, Price, (Price * Quantity) As TotalAmount from orderdetail
inner join product on product.Id = orderdetail.ProdId where orderdetail.Id = 1005;
45204/4.sql
Select Name, street,suburb,state, postcode from store where street like 'george';
45204/45204.docx
Entity Relation Diagram
Part B
Normalisation
Normalisation is done to reduce data redundancies and get a clearer and easily understandable database. While storing the tables in the database we should try to keep them in third normal form. A table is in third normal form if it is in second normal form and does not contain any non-key attribute transitively dependent on the primary key of the table. All the tables of AMC store are already in third normal form. There is no attribute which shows transitive dependency on any primary key.
Relational Schema
Table Store
        Column Name
        Data Type
        Length
        Key Constraints
        Id
        Bigint
        
        Primary
        Name
        varchar
        50
        
        PhoneNo
        Varchar
        50
        
        Email
        Varchar
        50
        
        Fax
        varchar
        50
        
        Street
        Varchar
        30
        
        Suburb
        Varchar
        30
        
        State
        Varchar
        30
        
        Postcode
        int
        
        
Table Department
        Column Name    
        Data Type
        Length
        Key Constraints
        Id
        Bigint
        
        Primary
        Name
        varchar
        50
        
        StoreId
        Bigint
        
        Foreign Key
        Email
        Varchar
        50
        
        PhoneNo
        Varchar
        50
        
Table Employee
        Column Name
        Data Type
        Length
        Key Constraints
        Id
        Bigint
        
        Primary
        FirstName
        varchar
        50
        
        LastName
        Varchar
        50
        
        Email
        Varchar
        50
        
        PhoneNo
        varchar
        50
        
        Address
        Varchar
        50
        
        TFN
        Varchar
        30
        
        Salary
        int
        
        
        Joining Date
        Date
        
        
        DeptId
        Bigint
        
        Foreign key
        EmployType
        varchar
        40
        
Table Payslip
        Column Name
        Data Type
        Length
        Key Constraints
        Id
        Bigint
        
        Primary
        Hoursworked
        int
        
        
        StoreId
        Bigint
        
        Foreign Key
        EmpId
        Bigint
        
        Foreign Key
        GrossPay
        Bigint
        
        
Table Product
        Column Name
        Data Type
        Length
        Key Constraints
        Id
        Bigint
        
        Primary
        Name
        varchar
        50
        
        Brand
        varchar
        50
        
        Description
        varchar
        100
        
        Price
        int
        
        
Table Supplier
        Column Name
        Data Type
        Length
        Key Constraints
        Id
        Bigint
        
        Primary
        Name
        varchar
        50
        
        Address
        varchar
        100
        
        Phone
        varchar
        20
        
        Email
        varchar
        50
        
Table Customer
        Column Name
        Data Type
        Length
        Key Constraints
        Id
        Bigint
        
        Primary
        firstname
        varchar
        50
        
        lastName
        varchar
        50
        
        Phone
        varchar
        20
        
        Email
        varchar
        50
        
        Address
        varchar
        100
        
Table...
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