Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Shivnath Babu

Shivnath Babu
CTO | Adjunct Professor, Unravel Data Systems | Duke University

Shivnath Babu is the CTO at Unravel Data Systems and an adjunct professor of computer science at Duke University. 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. Shivnath cofounded Unravel 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 won a US National Science Foundation CAREER Award, three IBM Faculty Awards, and an HP Labs Innovation Research Award.

Sessions

1:10pm–1:50pm Thursday, 09/13/2018
Quick, reliable, and cost-effective ways to operationalize big data apps (sponsored by Unravel)
Location: 1A 01/02
Shivnath Babu (Unravel Data Systems | Duke University), Madhusudan Tumma (TIAA)
Average rating: ****.
(4.00, 1 rating)
Operationalizing big data apps in a quick, reliable, and cost-effective manner remains a daunting task. Shivnath Babu and Madhusudan Tumma outline common problems and their causes and share best practices to find and fix these problems quickly and prevent such problems from happening in the first place. Read more.