It's been so long since I last drew an E/R diagram, I got things mixed up with UML class diagrams

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It's been so long since I last drew an E/R diagram, I got things mixed up with UML class diagrams
Strong data architecture starts with one simple but often overlooked decision: choosing the right data types.
Whether it’s numeric, string, date, or time-based data, every column choice affects how well a database performs, scales, and protects data quality.
A few examples:
Choosing DECIMAL instead of floating-point for currency can prevent rounding issues in financial data.
Using INTEGER instead of storing numbers as strings improves performance and reduces storage.
Defining a field as DATE helps prevent invalid entries and supports reliable filtering, sorting, and reporting.
And beyond the data itself, metadata plays a critical role. It gives context, improves governance, supports reuse, and helps teams understand what the data actually means.
In short, good data typing is not just a technical detail. It is a foundation for accuracy, efficiency, and trust.
When designing database columns, don’t just ask, “Can this store the value?”
Ask, “Is this the right type for performance, integrity, and long-term usability?”
https://itway.me/en/blog/why-your-database-is-not-a-queue
Why Your Database Is Not a Queue.
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Database: i modelli concettuale, logico e fisico.
🔧 Understanding the ALTER Command in SQL | Database Design Basics
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Syntax and usage of ALTER TABLE
How to add, modify, or drop columns
Renaming columns or changing data types
3️⃣ Real-World Examples
Updating a production table without losing existing data
Common use cases of ALTER commands in development environments
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Avoiding errors while altering tables
Maintaining data integrity and database stability
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📚 Recommended Books for SQL Learners
Learning SQL — Alan Beaulieu
Database Design for Mere Mortals — Michael J. Hernandez
SQL Cookbook — Anthony Molinaro
🎬 Must-Watch Tech Documentaries
Code: Debugging the Gender Gap (2015)
The Internet's Own Boy (2014)
Silicon Valley: The Untold Story (2018)
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The challenge behind learning MySQL is that you have to learn from scratch to finish in one go. Skip a few days and you have to start from scratch again.