Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK
Neha Narkhede

Neha Narkhede
Cofounder and CTO, Confluent

@nehanarkhede

Neha Narkhede is the cofounder and CTO at Confluent, a company backing the popular Apache Kafka messaging system. Previously, Neha led streams infrastructure at LinkedIn, where she was responsible for LinkedIn’s petabyte-scale streaming infrastructure built on top of Apache Kafka and Apache Samza. Neha specializes in building and scaling large distributed systems and is one of the initial authors of Apache Kafka. A distributed systems engineer by training, Neha works with data scientists, analysts, and business professionals to move the needle on results.

Sessions

16:35–17:15 Thursday, 2/06/2016
Ask me anything: Apache Kafka
Ask Me Anything
 Location: Expo Hall (AMA tables)
Ian Wrigley (StreamSets), Neha Narkhede (Confluent), Flavio Junqueira (Dell EMC)
Average rating: *****
(5.00, 1 rating)
Ian Wrigley, Neha Narkhede, and Flavio Junqueira field a wide range of detailed questions about Apache Kafka. Even if you don’t have a specific question, join in to hear what others are asking. Read more.
14:05–14:45 Friday, 3/06/2016
Introducing Kafka Streams, Apache Kafka's new stream processing library
Data innovations
 Location: Capital Suite 12 Level: Intermediate
Tags: real-time, iot
Neha Narkhede (Confluent)
Average rating: ****.
(4.12, 8 ratings)
Neha Narkhede offers an overview of Kafka Streams, a new stream processing library natively integrated with Apache Kafka. It has a very low barrier to entry, easy operationalization, and a natural DSL for writing stream processing applications. As such, it is the most convenient yet scalable option to analyze, transform, or otherwise process data that is backed by Kafka. Read more.