Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka®

Available On-Demand

An increasingly important system requirement for distributed stream processing applications is to provide strong correctness guarantees under unexpected failures and out-of-order data so that its results can be authoritative (not needing complementary batch results).

Kafka Streams, a scalable stream processing client library in Apache Kafka, defines the processing logic as read-process-write cycles in which all processing state updates and result outputs are captured as log appends.

Join this webinar to learn more about:

• Apache Kafka's core design for stream processing
• How Kafka Streams behaves in practice with large-scale deployments