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

Shivnath Babu
Associate Professor | Chief Scientist , Duke University | Unravel Data Systems

Website

Shivnath Babu is an associate professor of computer science at Duke University, where his research focuses on ease of use and manageability of data-intensive systems, automated problem diagnosis, and cluster sizing for applications running on cloud platforms. He is also the chief scientist at Unravel Data Systems, the company he cofounded to solve the application management challenges that companies face when they adopt systems like Hadoop and Spark. Unravel originated from the Starfish platform built at Duke, which has been downloaded by over 100 companies. Shivnath has received a US National Science Foundation CAREER Award, three IBM Faculty Awards, and an HP Labs Innovation Research Award. He has given talks and distinguished lectures at many research conferences and universities worldwide. Shivnath has also spoken at industry conferences, such as the Hadoop Summit.

Sessions

11:00am–11:40am Wednesday, March 7, 2018
Using machine learning to simplify Kafka operations
Data engineering and architecture, Streaming systems and real-time applications
 Location: 230 A
Secondary topics:  Graphs and Time-series
Shivnath Babu (Duke University | Unravel Data Systems), mdhruvg goel (Microsoft)
Average rating: ****.
(4.50, 2 ratings)
Getting the best performance, predictability, and reliability for Kafka-based applications is a complex art. Shivnath Babu and Dhruv Goel explain how to simplify the process by leveraging recent advances in machine learning and AI and outline a methodology for applying statistical learning to the rich and diverse monitoring data that is available from Kafka. Read more.