Tables, rows, columns

Introduction to SQL — What is SQL? — History and standards (SQL-92, SQL:2011) — Popular RDBMS: MySQL, PostgreSQL, SQLite, SQL Server — SQL syntax and structure Database Basics — What is a database? — Tables, rows, columns — Primary key and foreign key — Relational model overview Creating and Managing Databases — CREATE DATABASE — USE, DROP DATABASE — Database naming conventions Creating and Managing Tables — CREATE TABLE syntax — Data types (INT, VARCHAR, DATE, etc.) — Constraints (NOT NULL, UNIQUE, DEFAULT) — DROP and ALTER TABLE Inserting Data — INSERT INTO syntax — Inserting single and multiple rows — Using DEFAULT values Querying Data (SELECT) — SELECT basics — Filtering with WHERE — Sorting with ORDER BY — DISTINCT keyword — LIMIT and OFFSET Filtering Data — Comparison operators (=, <>, >, etc.) — Logical operators (AND, OR, NOT) — BETWEEN, IN, LIKE — IS NULL / IS NOT NULL Updating and Deleting Data — UPDATE syntax — DELETE syntax — WHERE clause best practices — TRUNCATE vs DELETE Joins in SQL — INNER JOIN — LEFT JOIN — RIGHT JOIN — FULL OUTER JOIN — Self join and cross join Aggregate Functions — COUNT(), SUM(), AVG(), MIN(), MAX() — GROUP BY and HAVING — Filtering grouped data Subqueries — Subqueries in SELECT, WHERE, FROM — Correlated vs non-correlated subqueries Set Operations — UNION vs UNION ALL — INTERSECT and EXCEPT (if supported) Indexes — What is an index? — CREATE INDEX syntax — Unique index — Performance considerations Constraints and Keys — PRIMARY KEY — FOREIGN KEY — CHECK, DEFAULT — ON DELETE / ON UPDATE CASCADE Views — CREATE VIEW syntax — Updating data through views — Dropping views Stored Procedures — What is a stored procedure? — CREATE PROCEDURE — IN, OUT, INOUT parameters — Calling procedures Functions — User-defined functions (UDFs) — Differences from procedures — RETURN values and syntax Triggers — CREATE TRIGGER syntax — BEFORE / AFTER INSERT, UPDATE, DELETE — Use cases and examples Transactions and ACID — BEGIN, COMMIT, ROLLBACK — SAVEPOINT — Understanding ACID properties User and Permission Management — Creating users — GRANT and REVOKE privileges — Roles and security best practices Normalization and Database Design — 1NF, 2NF, 3NF — Denormalization — Designing efficient schemas Working with Dates and Time — DATE, TIME, DATETIME — DATE functions (NOW(), CURDATE(), DATEDIFF()) Common Built-in Functions — String functions (CONCAT, SUBSTRING, REPLACE) — Math functions (ROUND, FLOOR, CEIL) — Date functions (NOW, DATE_ADD, etc.) Performance Tuning — Query optimization — Using EXPLAIN — Reducing slow queries Real-World Projects — Student/course database — E-commerce schema — Blog or CMS backend — Library/book management system

Tables, rows, columns

Understand Tables, rows, columns in SQL for effective database querying and management.

Tables, Rows, and Columns in a Database

In a relational database, data is stored in a structured format using tables, which consist of rows and columns. This structure allows for efficient organization, access, and relationships between data.

What is a Table?

A table is a collection of related data stored in a grid format of rows and columns. Each table represents an entity — such as customers, orders, or products.

Example: A students table may store data about students enrolled in a course.

What is a Column?

A column (also called a field or attribute) defines a specific type of data stored in the table. Each column has a name and data type (e.g., VARCHAR, INT).

Example: In a students table: name, age, and email are columns.

What is a Row?

A row (also called a record) represents a single entry or instance in a table. Each row contains data values for every column in the table.

Example: One student’s information in the students table is stored as a single row.

Example Table: students

ID Name Age Email
1 Amit Sharma 20 amit@example.com
2 Priya Verma 22 priya@example.com

Explanation: Each column (ID, Name, Age, Email) defines a field, and each row represents a student record.

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