How Stream Processing Works with ksqlDB

What this post added

This post details how ksqlDB works by explaining its core concepts: declaring streams with schemas, inserting rows as records into Kafka topics, transforming streams with persistent queries that compile to Kafka Streams topologies, filtering rows, combining operations for efficiency, and rekeying streams for data locality using partitioning. It also touches on how ksqlDB manages processing progression and offsets, and how it handles out-of-order data.