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• Published in 4 languages (English, Chinese, Japanese an...
Purpose of QCon
- to empower software development by facilitating the spread of
knowledge and innovation
Strategy
- practi...
Neha Narkhede,
Gwen Shapira & Todd Palino
KafkaThe Definitive Guide
REAL-TIME DATA AND STREAM PROCESSING AT SCALE
www.conflu...
Watch the video with slide synchronization on
InfoQ.com!
http://www.infoq.com/presentations/stream-
processing-kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
Demystifying Stream Processing with Apache Kafka
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Demystifying Stream Processing with Apache Kafka

Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/1JE1Lro.

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. Filmed at qconsf.com.

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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Demystifying Stream Processing with Apache Kafka

  1. 1. InfoQ.com: News & Community Site • 750,000 unique visitors/month • Published in 4 languages (English, Chinese, Japanese and Brazilian Portuguese) • Post content from our QCon conferences • News 15-20 / week • Articles 3-4 / week • Presentations (videos) 12-15 / week • Interviews 2-3 / week • Books 1 / month Watch the video with slide synchronization on InfoQ.com! http://www.infoq.com/presentations /stream-processing-kafka
  2. 2. Purpose of QCon - to empower software development by facilitating the spread of knowledge and innovation Strategy - practitioner-driven conference designed for YOU: influencers of change and innovation in your teams - speakers and topics driving the evolution and innovation - connecting and catalyzing the influencers and innovators Highlights - attended by more than 12,000 delegates since 2007 - held in 9 cities worldwide Presented at QCon San Francisco www.qconsf.com
  3. 3. Neha Narkhede, Gwen Shapira & Todd Palino KafkaThe Definitive Guide REAL-TIME DATA AND STREAM PROCESSING AT SCALE www.confluent.io/download   Download  Apache  Ka/a   and  Confluent  Pla5orm   @nehanarkhede  |  confluent.io/blog  
  4. 4. Watch the video with slide synchronization on InfoQ.com! http://www.infoq.com/presentations/stream- processing-kafka

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