Final Answer:
As a database administrator at Paterson Credit Union, I am modifying the database to enhance its functionality. This involves incorporating validation rules, lookup fields, and input masks. Additionally, I am optimizing queries to leverage advanced functions and features, ensuring a more robust and efficient database system.
Step-by-step explanation:
In this project, the primary focus is on enhancing the database at Paterson Credit Union through the addition of validation rules, lookup fields, and input masks. Validation rules are essential for ensuring data integrity by specifying the criteria that must be met for data to be entered or modified. This includes constraints on data types, ranges, and formats. Lookup fields are used to establish relationships between tables, allowing for more efficient data retrieval and reducing redundancy. Input masks, on the other hand, ensure consistent data entry by defining a specific format for user input, such as phone numbers or dates.
Furthermore, the modification of queries involves taking advantage of advanced functions and features. This optimization is crucial for improving the overall performance and responsiveness of the database system. Advanced functions like aggregate functions (e.g., SUM, AVG) and features like indexing can significantly enhance query execution speed. By strategically incorporating these elements, queries become more powerful and resource-efficient.
In summary, the project's objective is to elevate the Paterson Credit Union database by implementing validation rules, lookup fields, and input masks, while also optimizing queries with advanced functions and features. This comprehensive approach ensures data accuracy, relationship integrity, and improved database performance, contributing to a more robust and effective database management system for the credit union.