13 articles
Deploy and operate production databases with AWS RDS: instance setup, Multi-AZ high availability, read replicas, automated backups, parameter groups, and performance optimization for PostgreSQL and MySQL.
Master MySQL aggregate functions (COUNT, SUM, AVG, MIN, MAX) and learn how GROUP BY and HAVING clauses transform raw data into actionable summaries. Ideal for students, developers, and data analysts working with relational databases.
Learn the essential MySQL DDL commands for managing entire databases — CREATE DATABASE, DROP DATABASE, USE, SHOW DATABASES, and SELECT DATABASE(). Aimed at beginners and developers setting up MySQL environments for the first time.
A complete guide to MySQL DDL commands for tables: CREATE TABLE with constraints, ALTER TABLE for schema changes, DROP TABLE, SHOW TABLES, and DESCRIBE. Essential reading for database developers and students preparing for SQL exams.
A thorough walkthrough of MySQL DML commands — INSERT INTO, UPDATE, DELETE FROM, and SELECT — including WHERE conditions, LIKE patterns, ORDER BY, and BETWEEN. Perfect for beginners learning SQL data manipulation and developers writing CRUD queries.
A practical, step-by-step guide to installing MySQL on Windows, macOS, and Linux in 2026, covering the MySQL Installer, Homebrew, and apt/yum package managers. Designed for beginners and developers setting up a local database environment.
A complete guide to all MySQL join types — Equi Join, INNER JOIN, LEFT JOIN, RIGHT JOIN, CROSS JOIN, NATURAL JOIN, and UNION — with real examples, output tables, and performance tips. Essential for developers and SQL learners working with relational data.
A curated set of MySQL practice questions covering DDL (database and table commands), DML (INSERT, UPDATE, DELETE, SELECT), ALTER TABLE, aggregate functions, and joins. Ideal for students preparing for board exams, interviews, or SQL certifications.
A complete reference to MySQL single-row functions including numeric functions (POWER, ROUND, TRUNCATE), string functions (LENGTH, CONCAT, SUBSTR, INSTR, TRIM), and date functions (CURDATE, NOW, MONTH, YEAR, DAYNAME). Ideal for SQL learners and developers writing data transformation queries.
Learn MySQL Transaction Control Language (TCL) commands — START TRANSACTION, COMMIT, ROLLBACK, SAVEPOINT, and SET AUTOCOMMIT — with real examples that demonstrate ACID properties and safe multi-step data operations. Essential for developers building reliable database-driven applications.
Learn to connect Python to MySQL using mysql-connector-python and SQLAlchemy. This guide covers queries, parameterized statements, transactions, connection pooling, and ORM patterns for production apps.
Use database branching to test migrations safely. Branch per PR, mask PII, and integrate with CI/CD for rapid iteration.
Your query runs in 2ms in development with 1,000 rows. In production with 10 million rows, the same query takes 8 seconds. The database does a full table scan on every single request. Here''s how to identify missing indexes, write efficient queries, and build a database that stays fast as data grows.