Failover Automation
Automatic failover patterns. Health checks, failure detection, split-brain prevention, and DNS TTL management during database failover.
Automatic failover patterns. Health checks, failure detection, split-brain prevention, and DNS TTL management during database failover.
Understand GDPR requirements: deletion, portability, consent, agreements, breach notification. Database implementation strategies.
Learn Neo4j graph database modeling with Cypher. Covers nodes, edges, social networks, recommendation engines, fraud detection, and when graphs are not the right fit.
Master composite index column ordering, covering indexes for query optimization, partial indexes for partitioned data, expression indexes, and selectivity.
A practical guide to database indexes. Learn when to use B-tree, hash, composite, and partial indexes, understand index maintenance overhead, and avoid common performance traps.
Master SQL JOINs with this practical guide covering INNER, LEFT, RIGHT, FULL OUTER, and CROSS joins. Learn how relationship types between tables shape your queries.
Learn Redis and DynamoDB key-value patterns for caching, sessions, leaderboards, TTL eviction policies, and storage tradeoffs.
Learn about shared vs exclusive locks, lock escalation, deadlocks, optimistic vs pessimistic concurrency control, and FOR UPDATE clauses.
Precomputed query results stored as tables. PostgreSQL refresh strategies, indexes on materialized views, and when to use them vs views or denormalization.
Learn database normalization from 1NF through BCNF. Understand how normalization eliminates redundancy, prevents update anomalies, and when denormalization makes sense for performance.