Database Insights

Eliminate stale cache reads and thundering-herd stampedes by streaming MySQL binlog changes to Valkey via Debezium CDC. Full Java setup with embedded engine and XFetch.

Design multi-tenant databases — compare schema-per-tenant, row-level-security, and database-per-tenant approaches

Build a real-time analytics pipeline from PostgreSQL to ClickHouse using CDC — architecture, latency, and schema mapping

Understand the differences between OLAP and OLTP systems — query patterns, storage engines, and when to use a hybrid approach

Use Apache Airflow to orchestrate database ETL, backup jobs, and maintenance tasks — DAGs, sensors, and best practices

Implement the transactional outbox pattern to publish events reliably from MySQL or PostgreSQL without dual-write problems

Compare Delta Lake, Apache Iceberg, and Apache Hudi — ACID transactions, time travel, and format interoperability

Compare CDC, ETL, and ELT — latency, complexity, cost, and when each pattern fits your data pipeline needs

Use Kafka Connect source and sink connectors to stream data between databases, warehouses, and event systems

Apply DynamoDB advanced patterns — GSI overloading, sparse indexes, single-table design, and access pattern modeling

Model data in Cassandra around query patterns — partition key design, clustering columns, and anti-patterns to avoid

Design MongoDB sharded clusters — choose shard keys, manage chunk balancing, and avoid hot shards in production