What is SQL? What is a Database? Relational Database Management Systems (RDBMS) Explained in Plain English.
By Sameer Khoja Databases can be tricky to wrap your head around. However, they're essential to full-stack programming and building out back-end services that store data. In this post, I'll be demystifying SQL, Databases, and Relational Database Man...
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Ajouté le
18 mars 2026
Matière et domaine
coding · data-databases
Niveaux scolaires
9e année (3e)–12e année (Terminale)
Type de page
Article
Introduction
Understanding Databases and SQL
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Core Definitions:
- Database: A structured, electronically accessible set of data.
- RDBMS (Relational Database Management System): A framework for databases (e.g., MySQL).
- SQL (Structured Query Language): The language used to interact with databases.
- Key Components: Tables (objects carrying data), Fields (values/columns), and Records/Rows (individual entries).
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Essential SQL Commands:
- CREATE: Initializes a new table.
- DROP: Deletes an entire table (permanent).
- INSERT: Adds new rows of data.
- SELECT: Retrieves data from the database.
- Semicolons (;): Used to terminate and separate individual SQL statements.
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Common Clauses & Modifiers:
- WHERE: Filters data based on specific conditions.
- AND / OR: Logical operators to combine multiple conditions.
- LIKE: Searches for specific patterns in text.
- COUNT / AVG / SUM: Aggregate functions for calculations.
- LIMIT: Restricts the number of returned results.
- ORDER BY: Sorts results in ascending (ASC) or descending (DESC) order.
- GROUP BY: Aggregates rows that share the same values into summary rows.
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Database Design Patterns:
- Normalized: Focuses on minimizing data redundancy; requires joining tables for complete information.
- Denormalized: Focuses on faster read times by intentionally duplicating data across tables.
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Data Integrity:
- Refers to the accuracy, security, and consistency of data (e.g., ensuring ages are not negative or preventing duplicate entries).
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