PREVIEW: Kafka Stream Processing for Everyone with KSQL
summary
KSQL claims to make stream processing accessible by exposing SQL-like operations built on Kafka Streams so users can do common tasks without Java. It demonstrates continuous ETL (about 20% of users) to maintain live customer profiles, and a one-line CREATE to repartition and rekey a topic as a concrete example. It emits unbounded results forever, so it works for streaming transforms and joins but is not for BI finite result sets or random-access queries.
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