Launch AppTechnical deep dives into relational database architecture, SQL query optimization, schema design patterns, and engineering best practices for backend engineers.
Learn how SQL database indexes work, including B-Tree and composite indexes. This guide covers when to use indexes, their performance impact on PostgreSQL and MySQL, and best practices for schema optimization.
Master database normalization from First Normal Form (1NF) through Third Normal Form (3NF). Learn how to reduce data redundancy, eliminate update anomalies, and design clean relational schemas.
A complete guide to SQL JOIN operations — INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, and CROSS JOIN — with syntax examples for PostgreSQL, MySQL, and SQL Server.
Speed up slow SQL queries with proven optimization techniques. Learn to use EXPLAIN plans, fix N+1 query problems, write sargable predicates, and avoid common performance pitfalls in PostgreSQL and MySQL.
Understand ACID properties — Atomicity, Consistency, Isolation, and Durability — and how they guarantee transaction integrity in PostgreSQL, MySQL, and SQL Server. Essential knowledge for backend engineers.
Compare B-Tree and Hash indexes side-by-side. Learn their data structures, time complexities, and when to use each index type in PostgreSQL and MySQL for optimal query performance.
Identify and fix common SQL antipatterns including Entity-Attribute-Value, comma-separated lists, and polymorphic associations. Learn how to refactor bad schema designs for better performance and maintainability.
Learn how Primary Keys uniquely identify rows and Foreign Keys enforce referential integrity across tables. Covers surrogate vs natural keys, cascading actions, and why you should always index foreign keys.
Understand the key differences between standard SQL Views and Materialized Views. Learn when to use each for query abstraction, security, and read-heavy performance optimization in PostgreSQL.
Learn what causes database deadlocks in concurrent transactions and how to prevent them. Covers consistent access ordering, short transaction patterns, isolation levels, and retry strategies for PostgreSQL and SQL Server.