May 13-14, 2019 | London
Guozhang Wang is a PMC member of Apache Kafka, and also a tech lead at Confluent leading the Streams team. He receives his PhD from Cornell University database group where he worked on scaling iterative data-driven applications. Prior to Confluent, Guozhang was a senior software engineer at LinkedIn, developing and maintaining its backbone streaming infrastructure on Apache Kafka and Apache Samza.
High-speed and low footprint data stream processing is high in demand for Kafka Streams applications. However, how to write an efficient streaming application using the Streams DSL has been asked by many users in the past since it requires some deep knowledge about Kafka Streams internals. In this talk, I ... Read More
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