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Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA

Personal schedule for Young Lee

Download or subscribe to Young Lee's schedule.

9:00am12:30pm Tuesday, March 14, 2017
Data science & advanced analytics
Location: LL21 E/F Level: Intermediate
Secondary topics:  Deep learning
Amy Unruh (Google), Yufeng Guo (Google)
Amy Unruh and Yufeng Guo walk you through training and deploying a machine-learning system using TensorFlow, a popular open source library. Amy and Yufeng begin by giving an overview of TensorFlow and demonstrating some fun, already-trained TensorFlow models. Read more.
1:30pm5:00pm Tuesday, March 14, 2017
Stream processing and analytics
Location: 210 A/E Level: Intermediate
Secondary topics:  Streaming
Ian Wrigley (StreamSets)
Ian Wrigley demonstrates how Kafka Connect and Kafka Streams can be used together to build real-world, real-time streaming data pipelines. Using Kafka Connect, you'll ingest data from a relational database into Kafka topics as the data is being generated and then process and enrich the data in real time using Kafka Streams before writing it out for further analysis. Read more.