Designing a robust database schema is crucial for data integrity, performance, and long‐term maintainability. In this module, we’ll cover: Creating and altering tables Defining keys and leveraging indexes By the end, you’ll know how to structure your data model to support reliable applications and fast queries. Creating and Altering Tables A well‐designed table lays the foundation of your database. Start by defining clear columns, appropriate data types, and necessary constraints. 1. CREATE TABLE Syntax sql CREATE TABLE employees ( employee_id SERIAL PRIMARY KEY, first_name VARCHAR(50) NOT NULL, last_name VARCHAR(50) NOT NULL, hire_date DATE NOT NULL, email VARCHAR(100) UNIQUE, salary NUMERIC(10, 2) CHECK (salary > 0) ); Key takeaways: Use SERIAL or IDENTITY for auto-incrementing primary keys. Choose string lengths ( VARCHAR ) based on real data. Apply NOT NULL to mandatory columns. Enforce business rules with CHECK constraints. 2. A...
Final Project – Part 5: Final Review and Export Congratulations — you have reached the final phase of the Excel Basic Course Final Project. In this part, you will refine your dashboard, check for errors, ensure professional quality, and export your work in a clean, shareable format. A dashboard is only complete when it is: Accurate Clear Consistent Easy to read Ready for presentation This final review ensures your work meets professional standards used in business reporting, corporate training, and international certifications. 1. Review the Dataset Start by revisiting your original dataset to ensure everything is clean and consistent. Checklist: No blank rows or columns No inconsistent capitalization No duplicated records No formatting inconsistencies No errors in numeric or date fields Use the following tools if needed: 2.5 Basic Data Cleaning 4.5 Removing Duplicates 6.3 Find and Replace / Go To S...