Databases
MySQL, PostgreSQL, MongoDB, SQLite, Redis, MariaDB & more
Databases are the backbone of modern applications. This category covers relational databases, NoSQL systems, query languages, database design, performance optimization, and security best practices.
Available Tutorials
- SQL Basics Explained — SELECT, INSERT, UPDATE, DELETE, WHERE
- MySQL Explained — Installation, CREATE TABLE, indexes, JOINs
- PostgreSQL Explained — JSON support, extensions, advanced features
- MongoDB Explained — Documents, collections, CRUD, aggregation
- Redis Explained — Caching, data structures, pub/sub
- Database Design Guide — Normalization, ER diagrams, relationships
- SQL Query Optimization — EXPLAIN plans, indexing, JOIN optimization, N+1 fixes
- Database Indexing — B-tree, hash, GiST, GIN, composite and covering indexes
- Database Migrations — Flyway, Liquibase, Alembic, zero-downtime migrations
- Database Replication — Leader-follower, failover, Patroni, replication lag
- Connection Pooling — HikariCP, pgBouncer, pool sizing, leak detection
- Backup and Restore — pg_dump, WAL archiving, PITR, disaster recovery
Published Topics
SQL Basics Explained — Complete Beginner's Guide
Learn SQL basics: SELECT, INSERT, UPDATE, DELETE, and WHERE clauses with practical examples for querying and managing relational database data.
✓ LiveMySQL Explained — Beginner's Guide with Examples
Learn MySQL from scratch: installation, CREATE TABLE, indexes, JOIN queries, and practical database management examples for beginners in 2026.
✓ LivePostgreSQL Explained — Beginner's Guide
Learn PostgreSQL: advanced features like JSON support, custom extensions, and how it compares to MySQL for modern application development.
✓ LiveMongoDB Explained — NoSQL Database for Beginners
Learn MongoDB: documents, collections, CRUD operations, aggregation pipeline, and how NoSQL differs from relational databases with practical examples.
✓ LiveRedis Explained — Caching & Data Structures for Beginners
Learn Redis: strings, hashes, lists, sets, sorted sets, pub/sub messaging, caching patterns, and how Redis accelerates applications in 2026.
✓ LiveDatabase Design Explained — A Beginner's Guide
Learn database design: normalization (1NF, 2NF, 3NF), entity-relationship diagrams, primary/foreign keys, and practical schema design for real applications.
✓ LiveOracle Database Guide — SQL, PL/SQL, and Enterprise Features
Learn Oracle Database: architecture, SQL*Plus, SQL vs PL/SQL, tables, indexes, sequences, views, stored procedures, and enterprise-grade features for 2026.
✓ LiveMicrosoft SQL Server Guide — T-SQL, SSMS, and Administration
Learn Microsoft SQL Server: editions, T-SQL vs standard SQL, SSMS, tables, stored procedures, indexes, backups, and SSIS/SSRS integration for 2026.
✓ LiveElasticsearch Guide — Search Engine and Analytics Database
Learn Elasticsearch: inverted index architecture, REST API, mappings, match/term/bool queries, aggregations, Kibana dashboards, and cluster management for 2026.
✓ LiveSQLite Guide — Embedded Database for Applications
Learn SQLite: zero-config embedded database, file-based storage, SQL support, .dump/.restore utilities, and practical usage in mobile and desktop applications for 2026.
✓ LiveApache Cassandra Guide — NoSQL Distributed Database
Learn Apache Cassandra: distributed NoSQL architecture, CQL query language, partition keys, clustering columns, consistency levels, data replication, and tunable consistency for 2026.
✓ LiveMariaDB Guide — MySQL Replacement with Advanced Features
Learn MariaDB: differences from MySQL, Aria storage engine, Galera clustering, JSON functions, performance schema, and advanced features for modern applications in 2026.
✓ LiveSnowflake Guide — Cloud Data Warehouse and Analytics Platform
Learn Snowflake: cloud data warehouse architecture with storage/compute separation, virtual warehouses, zero-copy cloning, time travel, data sharing, and analytics for 2026.
✓ LiveSQL Query Optimization: Performance Tuning Guide
Master SQL query optimization with EXPLAIN plans, index strategies, JOIN optimization, CTEs, and practical techniques to eliminate slow queries and boost database performance.
✓ LiveNeo4j Guide — Graph Database with Cypher Query Language
Learn Neo4j: graph database model with nodes, relationships, and properties, Cypher query language (MATCH, CREATE, WHERE), indexing, and graph algorithms for 2026.
✓ LiveDatabase Indexing: Complete Developer Guide
Master database indexing with B-tree, Hash, GiST, GIN, composite indexes, covering indexes, and learn when indexes hurt performance. Practical guide with real examples.
✓ LiveApache CouchDB Guide — Document-Oriented NoSQL Database
Learn Apache CouchDB: JSON documents, REST API, MapReduce views, replication, conflict resolution, and PouchDB sync for offline-first applications in 2026.
✓ LiveDatabase Migrations: Tools and Best Practices
Learn database migration best practices with Flyway, Liquibase, and Alembic. Versioning strategies, zero-downtime migrations, rollback plans, and testing for safe schema evolution.
✓ LiveAmazon DynamoDB Guide — NoSQL Database on AWS
Learn Amazon DynamoDB: tables, primary keys with partition and sort keys, secondary indexes, read/write capacity modes, DAX caching, DynamoDB Streams, and AWS pricing for 2026.
✓ LiveDatabase Replication: Setup and Management Guide
Learn database replication with leader-follower, multi-leader, synchronous and asynchronous setups. Configure read replicas, handle failover, detect lag, and monitor health with Patroni and Orchestrator.
✓ LiveConnection Pooling: Database Connection Management
Learn connection pooling with HikariCP, pgBouncer, and Pgpool-II. Master pool sizing theory, prevent connection leaks, configure timeouts, and monitor pool health for production databases.
✓ LiveDatabase Backup and Restore Strategies
Learn database backup strategies with pg_dump, mysqldump, WAL archiving, and point-in-time recovery (PITR). Covers logical vs physical backups, retention policies, and disaster recovery testing.
✓ LiveAll 22 topics in Databases are published.