Data is the core of every application. Master schema design, query optimization, and distributed data systems.
CRUD, JOINs, indexes, replication and MySQL tuning
Advanced SQL, JSONB, CTEs, materialized views and indexing
Documents, aggregation pipeline, Atlas and replica sets
Caching, pub/sub, sorted sets, persistence and Sentinel
Wide-column store, CQL, partitioning and replication
Automated backups, point-in-time recovery and disaster recovery
Master-slave, multi-master and synchronous replication
Query plans, slow query logs, EXPLAIN ANALYZE, caching
PostgreSQL, MySQL, ACID properties, and JOINs.
MongoDB, JSON documents, and flexible schemas.
Redis, Memcached, and session stores.
Indexes, query execution plans, and normalization.
Basic CRUD operations, SELECT queries, and foreign keys.
Complex JOINs, aggregate functions, indexing, and transactions.
Sharding, replication, materialized views, and solving the CAP theorem.
This domain is a core requirement for senior engineering roles.
Jump into interactive sandboxes and solve real-world Databases challenges.