Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: 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

4:20pm5:00pm Wednesday, March 15, 2017
Data science & advanced analytics, Real-time applications
Location: 210 C/G Level: Intermediate
Secondary topics:  Deep learning, Streaming
Shivnath Babu (Duke University | Unravel Data Systems)
Average rating: ***..
(3.33, 3 ratings)
Shivnath Babu offers an introduction to using deep learning to solve complex problems in IT operations analytics. Shivnath focuses on how deep learning can derive operations insights automatically for the complex big data application stack composed of systems such as Hadoop, Spark, Cassandra, Elasticsearch, and Impala, using examples of open source tools for deep learning. Read more.
4:20pm5:00pm Thursday, March 16, 2017
Secondary topics:  Deep learning
Shivnath Babu (Duke University | Unravel Data Systems)
Average rating: *****
(5.00, 1 rating)
Shivnath Babu offers an introduction to using deep learning to solve complex problems in IT operations analytics. Shivnath focuses on how deep learning can derive operations insights automatically for the complex big data application stack composed of systems such as Hadoop, Spark, Cassandra, Elasticsearch, and Impala, using examples of open source tools for deep learning. Read more.