Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY
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. Prior to founding Confluent, 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

1:15pm–1:55pm Wednesday, 09/28/2016
IoT & real-time
Location: 1 E 12/1 E 13 Level: Beginner
Tags: real-time
Neha Narkhede (Confluent)
Average rating: ****.
(4.92, 12 ratings)
Neha Narkhede explains how Apache Kafka serves as a foundation to streaming data applications that consume and process real-time data streams and introduces Kafka Connect, a system for capturing continuous data streams, and Kafka Streams, a lightweight stream processing library. Neha also describes the lessons companies like LinkedIn learned building massive streaming data architectures. Read more.
2:05pm–2:45pm Wednesday, 09/28/2016
Location: O'Reilly Booth (Table A)
Neha Narkhede (Confluent)
Join Neha for a deeper dive into Apache Kafka use cases, using Kafka for stream processing, comparing Kafka Streams's lightweight library approach with heavier, framework-based tools such as Spark Streaming or Storm, and how Kafka Connect can be combined with other tools such as stream processing frameworks to create a complete streaming data integration solution. Read more.