Overview

Databases are specialized systems for storing, organizing, and retrieving data efficiently. This section covers relational and non-relational database systems.

What You’ll Learn

• Relational Databases - PostgreSQL, MySQL, SQL fundamentals
• NoSQL Databases - MongoDB, Redis, Cassandra, document and key-value stores
• Database Design - Schema design, normalization, indexing strategies
• Query Optimization - Performance tuning, execution plans, query analysis
• Transactions - ACID properties, isolation levels, concurrency control
• Replication & Sharding - Scaling databases horizontally and vertically

Database Categories

Relational Databases (SQL)

• PostgreSQL for advanced features
• MySQL for widespread compatibility
• SQL Server for enterprise integration
• SQLite for embedded applications

NoSQL Databases

• Document Stores - MongoDB, CouchDB
• Key-Value Stores - Redis, DynamoDB
• Column-Family - Cassandra, HBase
• Graph Databases - Neo4j, ArangoDB

Database Operations

• Schema design and migrations
• Query optimization and indexing
• Backup and recovery strategies
• Monitoring and performance tuning
• Security and access control

Coming Soon

Content for databases is currently under development. Check back soon for tutorials, guides, and best practices covering SQL, NoSQL, and database administration.