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Database system

Data warehousing allows an organization to methodologically organize and manage its data to provide a trustworthy, consistent, and integrated data foundation for all of its data-driven applications. Data warehousing is both important and necessary in regards to running an enterprise of any size when it comes to making intelligent decisions, avoiding misguided marketing promotions, and enabling competitive advantage. Data warehousing essentially outlines data and their relationships, and it also serves as the foundation for business intelligence (BI) because it clearly draws the distinction between data and information.

The retail store has provided you with a list of some of the business rules that they use to conduct business on a daily basis. The company has also provided you with the subjects of interest to them, namely those things that the company wants to track in the process of taking orders from their customers. What can be done to effectively document the relational database system solution that you are proposing to the retail store?

Click attachment to see for worked examples.

The project deliverables are as follows:

  • Subjects of Interest (proposed entities)
    • Customers
    • Orders
    • Products
    • Add a minimum of 3 of your own subjects of interest based on your retail store.
  • Business Rules
    • Each product is assigned to a maximum of 1 category.
    • A person who has placed at least 1 order is a customer.
    • All products have a minimum reorder level.
    • Add a minimum of 3 of your own business rules based on your retail store.
  • Entity–Relationship Model (4–5 pages)
    • Include a list of the business rules that will be enforced by the proposed database system.
    • Include a list or table of the entities, attributes (including data types), relationships, and cardinality constraints.
    • Include an entity–relationship (E–R) diagram that uses crow’s foot notation and graphically depicts the entities, attributes (including data types), and relationships (including degree and cardinality constraints).
    • Verify that the data design that is depicted in the E–R diagram adheres to a minimum of third normal form (3NF), and if necessary, provide documentation and justification for the use of a higher level of normal form.
  • Provide your analysis as to how this part of the project fulfills the mission and 1 or more goals of the case study organization.

NOTE-PLEASE MAKE IT ON TIME AND NO PLAGIARISM ALL MUST BE IN APA FORMAT(15 REFERENCES,8 PAGES) PLEASE UNDERSTAND THE QUESTIONS DEEPLY AND ANSWER.

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