Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Dhruv Choudhary

Dhruv Choudhary
Research Scientist, MZ

Dhruv Choudhary is a research scientist at MZ, where he is researching stream anomaly detection algorithms for time series analysis and computer vision. Previously, Dhruv worked in the connected car space building data products around driver aggression, car behavior, and risk analysis. He holds a master’s degree from Georgia Tech, where he focused on applying control theory techniques to systems problems; his thesis formulated energy efficient thread scheduling for asymmetric architectures as an optimal control problem.

Sessions

4:35pm5:15pm Thursday, September 28, 2017
Secondary topics:  IoT, Streaming
Arun Kejariwal (Independent), Francois Orsini (MZ), Dhruv Choudhary (MZ)
Average rating: *****
(5.00, 3 ratings)
Services such as YouTube, Netflix, and Spotify popularized streaming in different industry segments, but these services do not center around live data—best exemplified by sensor data—which will be increasingly important in the future. Arun Kejariwal, Francois Orsini, and Dhruv Choudhary demonstrate how to leverage Satori to collect, discover, and react to live data feeds at ultralow latencies. Read more.