Database Insights

Implement schema change management with versioning, peer review, and automated validation for safe deployments

Use PostgreSQL FDW to query MySQL, S3, MongoDB, and other databases from within PostgreSQL — setup and performance tips

Use Spark with JDBC to read from and write to relational databases — partition strategies, predicate pushdown, and write modes

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

A production guide to TimescaleDB — hypertable setup, automatic chunk management, columnar compression policies, retention policies, continuous aggregates with time_bucket(), and comparison against InfluxDB and Prometheus.

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

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

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

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

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

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

Compare Liquibase and Flyway for schema migration management — features, abstraction level, and team fit