![]() ![]() Some have a stream processing or Kafka background, some have their roots in relational databases like Oracle and MySQL, and some have neither. In my daily work as a member of Confluent’s Office of the CTO and as the former product manager for ksqlDB and Kafka Streams, I interact with many users of Apache Kafka-be it developers, operators, or architects. The subsequent parts will take a closer look at Kafka’s storage layer-the distributed “filesystem” for streams and tables-and then move to the processing layer on top. In this first part, we begin with an overview of events, streams, tables, and the stream-table duality to set the stage. This four-part series explores the core fundamentals of Kafka’s storage and processing layers and how they interrelate.
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