Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
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

16:35–17:15 Wednesday, 1 May 2019
A Magic 8 Ball for optimal cost and resource allocation for the big data stack
Data Science, Machine Learning & AI
 Location: Capital Suite 15/16
Secondary topics:  Automation in data science and big data, Temporal data and time-series
Shivnath Babu (Unravel Data Systems | Duke University), Alkis Simitsis (Micro Focus)
Average rating: *****
(5.00, 1 rating)
Cost and resource provisioning are critical components of the big data stack. Shivnath Babu and Alkis Simitsis detail how to build a Magic 8 Ball for the big data stack—a decomposable time series model for optimal cost and resource allocation that offers enterprises a glimpse into their future needs and enables effective and cost-efficient project and operational planning. Read more.