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Demystifying Stream Processing with Apache Kafka
48:32
Summary
Neha Narkhede describes the core features of Apache Kafka and Apache Samza, which include scalability and parallelism through data partitioning, fault tolerance and event processing order guarantees, support for stateful stream processing, and handy stream processing primitives such as windowing.
Bio
Neha Narkhede is cofounder and head of engineering at Confluent. Previously, she was responsible for LinkedIn’s petabyte scale streaming infrastructure supporting hundreds of billions of events per day. She is also one of the initial authors of Apache Kafka and serves as a PMC member and committer for the project.
About the conference
Software is Changing the World. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.
Dec 25, 2015