Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA

Ask me anything: Apache Kafka

Joseph Adler (Facebook), Ewen Cheslack-Postava (Confluent), Jun Rao (Confluent), Jesse Anderson (Big Data Institute), Neha Narkhede (Confluent)
2:40pm–3:20pm Thursday, 03/31/2016
Ask Me Anything

Location: 211 A-C
Tags: real-time

Joseph Adler, Ewen Cheslack-Postava, Jun Rao, Jesse Anderson, and Neha Narkhede, the instructors of the Apache Kafka tutorials, field a wide range of detailed questions. Even if you don’t have a specific question, join in to hear what others are asking.

Photo of Joseph Adler

Joseph Adler

Facebook

Joseph Adler has many years of experience in data mining and data analysis at companies including DoubleClick, Verisign, and LinkedIn. Currently, he is director of product management and data science at Confluent. He is the holder of several patents for computer security and cryptography and the author of Baseball Hacks and R in a Nutshell. He graduated from MIT with a BSc and MEng in computer science and electrical engineering.

Photo of Ewen Cheslack-Postava

Ewen Cheslack-Postava

Confluent

Ewen Cheslack-Postava is an engineer at Confluent building a stream data platform based on Apache Kafka to help organizations reliably and robustly capture and leverage all their real-time data. Ewen received his PhD from Stanford University, where he developed Sirikata, an open source system for massive virtual environments. His dissertation defined a novel type of spatial query giving significantly improved visual fidelity and described a system for efficiently processing these queries at scale.

Photo of Jun Rao

Jun Rao

Confluent

Jun Rao is the cofounder of Confluent, a company that provides a streaming data platform on top of Apache Kafka. Previously, Jun was a senior staff engineer at LinkedIn, where he led the development of Kafka, and a researcher at IBM’s Almaden research data center, where he conducted research on database and distributed systems. Jun is the PMC chair of Apache Kafka and a committer of Apache Cassandra.

Photo of Jesse Anderson

Jesse Anderson

Big Data Institute

Jesse Anderson is a data engineer, creative engineer, and managing director of the Big Data Institute. Jesse trains employees on big data—including cutting-edge technology like Apache Kafka, Apache Hadoop, and Apache Spark. He has taught thousands of students at companies ranging from startups to Fortune 100 companies the skills to become data engineers. He is widely regarded as an expert in the field and recognized for his novel teaching practices. Jesse is published by O’Reilly and Pragmatic Programmers and has been covered in such prestigious media outlets as the Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired. You can learn more about Jesse at Jesse-Anderson.com.

Photo of Neha Narkhede

Neha Narkhede

Confluent

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.