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

Joseph Adler
Data Science, Facebook

@jadler

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.

Sessions

9:00am–12:30pm Tuesday, 03/29/2016
IoT and Real-time

Location: LL21 A
Tags: real-time
Jesse Anderson (Big Data Institute), Ewen Cheslack-Postava (Confluent), Joseph Adler (Facebook), Ian Wrigley (StreamSets)
Average rating: ***..
(3.90, 21 ratings)
Ewen Cheslack-Postava, Joseph Adler, Jesse Anderson, and Ian Wrigley show how to use Apache Kafka to collect, manage, and process stream data for big data projects and general purpose enterprise data-integration needs alike. Once your data is captured in real time and available as real-time subscriptions, you can start to compute new datasets in real-time from these original feeds. Read more.
1:30pm–5:00pm Tuesday, 03/29/2016
IoT and Real-time

Location: 210 A/E
Tags: real-time
Joseph Adler (Facebook), Ewen Cheslack-Postava (Confluent), Ian Wrigley (StreamSets)
Average rating: ***..
(3.06, 32 ratings)
Joseph Adler, Ewen Cheslack, and Ian Wrigley demonstrate the features of Apache Kafka that make it easy to build fast, secure, and reliable data pipelines and explain how to use Copycat, Kafka Streams, and Kafka Security as they coach you through building a working enterprise data pipeline. Read more.
2:40pm–3:20pm Thursday, 03/31/2016
Ask Me Anything

Location: 211 A-C
Tags: real-time
Joseph Adler (Facebook), Ewen Cheslack-Postava (Confluent), Jun Rao (Confluent), Jesse Anderson (Big Data Institute), Neha Narkhede (Confluent)
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. Read more.