Vinoth Chandar and Gwen Shapira discuss what ksqlDB is, the kinds of applications that you can build with it, vulnerabilities, and various ksqlDB use cases. They also talk about what's currently the best version of Apache Kafka version for performance improvements that don’t cause breaking changes to existing Kafka configuration and functionality.

Jay Kreps introduces ksqlDB, the event streaming database purpose-built for stream processing applications. As the successor to KSQL, ksqlDB is a specialized database for stream processing on top of Kafka, merging the concepts behind streams of data with tables of data.

Tim Berglund sits down with Ramesh Sringeri to discuss two Kafka use cases that Children's Healthcare of Atlanta is working on: achieving near-real-time streams of data to support meaningful intracranial pressure prediction and better manage intracranial pressure, and testing machine learning models with KSQL, Kafka Streams, and Kafka.

Use KSQL to calculate the difference between the expected arrival time and real-time updates of a bus as it executes its route. Leslie Kurt walks you through fundamental concepts, persistent queries, Confluent MQTT Proxy and other use cases.

Tim Berglund chats with Systems Engineer Pascal Vantrepote about the KSQL recipe he created based on a real-life customer use case in the financial services industry. They also discuss the advantages of KSQL, including no Java coding required.