Data Analytics ConsultMatch Database Design Model
Scenario
You have been asked to design a database system for ConsultMatch, a company that wants to match consultants and clients via an online service.
They have an existing list of 1500 consultants who have signed up so far. For each consultant, they need to display their name, degrees/education, experience, expertise, rate, and previous clients.
Potential clients look for a consultant at ConsultMatch by browsing a free list of consultants or using the ConsultMatch search engine. Once they have found the person who meets their needs, they can sign in to provide an overview of their project via the website.
The potential client needs to provide information about the project: customer name, address, project description, tasks for consultant, preferred starting time, and a sample of the materials if available.
ConsultMatch provides an opportunity for consultants to agree or disagree with a project after reading the description. They can also request more information from the potential client.
Tasks
Design a database for this project.
Show the ER diagram for your database. There should be at least 4 entities with their relations. Clearly describe the symbols you use for your ER diagram (entities, attributes, relationships, cardinalities, etc) –
Show the corresponding Relational Model with PK, and FK constraints. Show the required vs optional attributes along with data types for each attribute.
Show examples of Insert, Update, and Delete statements (DML).
Describe at least one stored procedure for this project. Explain why using a stored procedure would be a good idea. Explain what the stored procedure would do.
As a software designer, you already know that ConsultMatch will want to do data mining later on. What type of data would you recommend that ConsultMatch tracks and stores in a database? And why?
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