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Demystifying Stream Processing with Apache Kafka
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| by Neha Narkhede Follow 2 Followers on Dec 25, 2015 | NOTICE: The next QCon is in London Mar 5-9, 2018. Join us!

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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.

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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.

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