Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Ryan Nienhuis

Ryan Nienhuis
Senior Technical Product Manager, Amazon Web Services

Ryan Nienhuis is a senior technical product manager on the Amazon Kinesis team, where he defines products and features that make it easier for customers to work with real-time, streaming data in the cloud. Previously, Ryan worked at Deloitte Consulting, helping customers in banking and insurance solve their data architecture and real-time processing problems. Ryan holds a BE from Virginia Tech.

Sessions

9:00am–12:30pm Tuesday, March 6, 2018
Building your first big data application on AWS
Big data and data science in the cloud, Data engineering and architecture
 Location: LL21 B
Jorge Lopez (Amazon Web Services), Radhika Ravirala (Amazon Web Services), Paul Sears (Amazon Web Services), Ryan Nienhuis (Amazon Web Services), Randy Ridgley (Amazon Web Services)
Average rating: ****.
(4.50, 2 ratings)
Want to learn how to use Amazon's big data web services to launch your first big data application in the cloud? Jorge Lopez walks you through building a big data application using a combination of open source technologies and AWS managed services. Read more.
5:10pm–5:50pm Wednesday, March 7, 2018
Continuous machine learning over streaming data
Data science and machine learning, Streaming systems and real-time applications
 Location: LL20 A
Secondary topics:  Graphs and Time-series
Roger Barga (Amazon Web Services), Nina Mishra (Amazon Web Services), Sudipto Guha (Amazon Web Services), Ryan Nienhuis (Amazon Web Services)
Average rating: *****
(5.00, 8 ratings)
Roger Barga, Nina Mishra, Sudipto Guha, and Ryan Nienhuis detail continuous machine learning algorithms that discover useful information in streaming data. They focus on explainable machine learning, including anomaly detection with attribution, the ability to reduce false positives through user feedback, and the detection of anomalies in directed graphs. Read more.