Originalsql.sql

: Use -- for single-line or /* */ for multi-line comments to explain the intent of the query, not just the mechanics. 📜 History of the "Original" SQL

: Modern SQL is built on four functional pillars: DQL (Data Query Language) : Retrieving data (e.g., SELECT ).

: Defining structures (e.g., CREATE , DROP ).

Below is an overview of how to structure a professional SQL script and the history of the "original" SQL standard. ⚡ The Standard for "Proper" SQL

What is SQL? - Structured Query Language (SQL) Explained - AWS

: Favor a "river" style of alignment so new readers can scan the query vertically.

: Use UPPERCASE for keywords (e.g., SELECT , FROM ) and snake_case or lowercase for table and column names.

: Avoid SELECT * . Explicitly naming columns prevents breaking the code if the schema changes.

: Use -- for single-line or /* */ for multi-line comments to explain the intent of the query, not just the mechanics. 📜 History of the "Original" SQL

: Modern SQL is built on four functional pillars: DQL (Data Query Language) : Retrieving data (e.g., SELECT ).

: Defining structures (e.g., CREATE , DROP ).

Below is an overview of how to structure a professional SQL script and the history of the "original" SQL standard. ⚡ The Standard for "Proper" SQL

What is SQL? - Structured Query Language (SQL) Explained - AWS

: Favor a "river" style of alignment so new readers can scan the query vertically.

: Use UPPERCASE for keywords (e.g., SELECT , FROM ) and snake_case or lowercase for table and column names.

: Avoid SELECT * . Explicitly naming columns prevents breaking the code if the schema changes.