Constraint Enforcement: Database vs Application Level
A guide to CHECK, UNIQUE, NOT NULL, and exclusion constraints. Learn database vs application-level enforcement and performance implications.
A guide to CHECK, UNIQUE, NOT NULL, and exclusion constraints. Learn database vs application-level enforcement and performance implications.
Separate read and write models. Command vs query models, eventual consistency implications, event sourcing integration, and when CQRS makes sense.
Learn static and dynamic data masking: nulling, shuffling, hashing, and range techniques. Understand GDPR and PII considerations for PostgreSQL and Oracle.
OLAP vs OLTP comparison. Star and snowflake schemas, fact and dimension tables, slowly changing dimensions, and columnar storage in data warehouses.
Learn how to evolve your database schema in production without downtime. This guide covers expand-contract patterns, backward-compatible migrations, rollback strategies, and tools.
Keep your PostgreSQL database healthy with comprehensive monitoring. This guide covers query latency, connection usage, disk I/O, cache hit ratios, and alerting with pg_stat_statements and Prometheus.
When to intentionally duplicate data for read performance. Tradeoffs with normalization, update anomalies, and application-level denormalization strategies.
Learn MongoDB and CouchDB data modeling, embedding vs referencing, schema validation, and when document stores fit better than relational databases.
Learn Transparent Data Encryption (TDE), application-level encryption, and key management using AWS KMS and HashiCorp Vault. Performance overhead explained.
Storing state changes as immutable events. Event store implementation, event replay, schema evolution, and comparison with traditional CRUD approaches.