4 Incredible ksqlDB Techniques (#2 Will Make You Cry)
Blog post from Confluent
ksqlDB is an event streaming database designed for building stream processing applications with ease, using a SQL-based, declarative approach distinct from Kafka Streams. It offers several techniques for working with JSON data, such as modeling and accessing both homogeneous and heterogeneous JSON structures, retrieving nested JSON fields stored as strings, and dynamically masking sensitive information like personally identifiable information (PII) in real-time. The blog post also highlights the ability to update active stream processing queries using the CREATE OR REPLACE syntax, allowing for flexibility in stream data handling. These capabilities are showcased using an IoT dataset, demonstrating ksqlDB's straightforward syntax and robust functionality for stream processing, with further resources available for deeper exploration and application of these techniques.