Database Insights

Replicate OLTP databases to analytical warehouses — CDC, bulk load, incremental sync, and schema evolution handling

Analyze real-world database schema designs from companies like Netflix, Uber, and Airbnb. Learn practical patterns for e-commerce, social media, and IoT applications.

Build a MySQL CDC pipeline using binlog and Kafka — Debezium, Maxwell, or Canal — trade-offs and production setup

Use Azure Cosmos DB for globally distributed workloads — consistency levels, partitioning, and API choices

A practical guide to database sharding strategies — hash sharding, range sharding, directory-based sharding — with trade-offs, resharding complexity, and decision criteria for MySQL and PostgreSQL.

Configure PostgreSQL logical replication for selective table sync, zero-downtime upgrades, and multi-tenant setups

A practical guide to Redis use cases in production — cache-aside pattern, sliding window rate limiting, Pub/Sub vs Streams, BRPOP queues with delayed job scheduling, and session storage with persistence configuration.

Understand Kafka from a database perspective — partitions, offsets, consumer groups, and durability guarantees

A comprehensive guide to database connection pooling — comparing PgBouncer, ProxySQL, and HikariCP with configuration examples, pool mode trade-offs, and production sizing recommendations.

Navigate the complex landscape of database technologies. Compare SQL vs NoSQL, OLTP vs OLAP, and learn decision frameworks for selecting the perfect database for your use case.

Process DynamoDB Streams with Lambda for change data capture, cross-region replication, and event sourcing

Master horizontal and vertical partitioning, plus database sharding strategies for handling billions of records. Learn partition pruning, shard key selection, and cross-shard query optimization.