Exploring ksqlDB with Real-Time Twitter Data

This post demonstrates the use of ksqlDB 0.6 to ingest real-time Twitter data via a Kafka Connect source connector, create a stream from the topic, filter columns, create a new, thinner stream, and build aggregate materialized views with pull queries. It highlights improvements in ksqlDB since its predecessor, KSQL, including pull query support, native Kafka Connect integration, and support for nested structures and array flattening.