Welcome! Today, we will explore managing employee records within a company using Go. We will delve into utilizing Go's map and slices to efficiently manage nested data structures, highlighting their versatility and simplicity. This approach will help us add projects and tasks for employees and retrieve those tasks as needed, showcasing essential skills in handling and manipulating hierarchical data in Go.

Let's begin by discussing the functions we will implement in our EmployeeRecords struct. Understanding these operations will help illustrate how Go's map can be used to simulate a relational database's operations with minimal complexity:

• func (e *EmployeeRecords) addProject(employeeID, projectName string) bool — This function adds a new project to an employee's list of projects. If the project already exists for that employee, the function returns false. Otherwise, it adds the project and returns true. This use case demonstrates how map enables easy checking for existing keys and adding new entries dynamically.
• func (e *EmployeeRecords) addTask(employeeID, projectName, task string) bool — This function adds a new task to a specified project for an employee. If the project does not exist for that employee, the function returns . If the task is added successfully, it returns . We utilize slices to list tasks, showcasing how slices efficiently manage ordered collections of data.