4 ksqlDB Techniques That Make Stream Processing Easier Than Ever

This post details four ksqlDB techniques that simplify stream processing: modeling and accessing JSON structures (including heterogeneous and nested JSON), extracting nested fields from JSON strings stored as escaped strings using EXTRACTJSONFIELD, dynamically masking sensitive fields in real-time using the MASK function and creating new streams with masked data, and updating active stream processing queries with CREATE OR REPLACE syntax to modify masking logic for new events.