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

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Strong data architecture starts with one simple but often overlooked decision: choosing the right data types.
Whether itβs 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, donβt just ask, βCan this store the value?β
Ask, βIs this the right type for performance, integrity, and long-term usability?β
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.
π§ Understanding the ALTER Command in SQL | Database Design Basics
Database management is a critical skill for anyone working in data analytics, data science, or software development. One of the most important SQL commands for maintaining and updating database structures is the ALTER command.
In this post, weβll explore the fundamentals of database design and how ALTER TABLE helps modify existing database structures efficiently.
π What Youβll Learn
1οΈβ£ Basics of Database Design
How to structure tables with primary keys, data types, and relationships
Best practices for normalization and efficient schema design
2οΈβ£ Understanding the ALTER Command in SQL
Syntax and usage of ALTER TABLE
How to add, modify, or drop columns
Renaming columns or changing data types
3οΈβ£ Real-World Examples
Updating a production table without losing existing data
Common use cases of ALTER commands in development environments
4οΈβ£ Pro Tips for Schema Management
Avoiding errors while altering tables
Maintaining data integrity and database stability
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Learning SQL β Alan Beaulieu
Database Design for Mere Mortals β Michael J. Hernandez
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π¬ 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.