Database Insights

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

Understand Google Spanner's architecture — TrueTime, interleaved tables, schema design, and cost model

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.

Use Neo4j for relationship-heavy data — Cypher query language, graph algorithms, and fraud detection use cases

A production guide to Citus — distributed PostgreSQL for horizontal sharding. Hypertable setup, distribution column selection, colocation for local joins, reference tables, and Citus vs native PostgreSQL partitioning.

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

Learn how JusDB optimized a TimescaleDB cluster ingesting billions of IoT readings monthly, achieving 10× faster writes and 65% storage reduction.

Evaluate Google AlloyDB — columnar engine, read pool nodes, ML integration, and comparison with Aurora PostgreSQL

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

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