Tracking data changes in QuestDB is crucial for various applications like real-time integrations, machine learning updates, and continuous table materialization. By leveraging the wal_transactions table, you can monitor and react to data changes efficiently. This post explores how to utilize these features, including practical examples and a sample repository for hands-on learning.
