Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY
Jesse Anderson

Jesse Anderson
Managing Director, Big Data Institute

Website | @jessetanderson

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.

Sessions

9:00am–12:30pm Tuesday, 09/27/2016
IoT & real-time
Location: 1B 03/04 Level: Beginner
Tags: real-time
Tyler Akidau (Google), Jesse Anderson (Big Data Institute)
Average rating: ****.
(4.50, 6 ratings)
Come learn the basics of stream processing via a guided walkthrough of the most sophisticated and portable stream processing model on the planet—Apache Beam (incubating). Tyler Akidau and Jesse Anderson cover the basics of robust stream processing (windowing, watermarks, and triggers) with the option to execute exercises on top of the runner of your choice—Flink, Spark, or Google Cloud Dataflow. Read more.
4:35pm–5:15pm Thursday, 09/29/2016
Spark & beyond
Location: Hall 1B Level: Intermediate
Tags: real-time
Jesse Anderson (Big Data Institute)
Average rating: *****
(5.00, 2 ratings)
Although Spark gets a lot of attention, we only think about two languages being supported—Python and Scala. Jesse Anderson proves that Java works just as well. With lambdas, we even get syntax comparable to Scala, so Java developers get the best of both worlds without having to learn Scala. Read more.