Database Insights

Add data quality checks to your pipeline — row count validation, schema drift detection, and anomaly alerting with Great Expectations

Deploy Vitess for horizontal MySQL sharding — VSchema design, vtgate routing, and migration from single-instance MySQL

Compare streaming and batch data processing — latency, throughput, tooling, and when each approach makes sense

Go beyond basics with Debezium — handle schema evolution, manage connector offsets, and build resilient CDC pipelines

Debezium reads MySQL binary logs and PostgreSQL WAL to stream every row-level change as a Kafka event in near real-time — replacing nightly batch ETL with sub-second data propagation.

Stream PostgreSQL changes to Kafka using pgoutput and Debezium — setup, monitoring, and lag management

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

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

Monitor MySQL and PostgreSQL with Prometheus, Grafana, and PMM. Covers mysqld_exporter, postgres_exporter, alert rules, and production dashboard configuration.

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

Manage SQL schema migrations with Flyway — versioned and repeatable scripts, CI/CD integration, and team workflows