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

Sahaana Suri
Graduate Student, Stanford University

Sahaana Suri is a second year PhD student in the Stanford InfoLab, working with Peter Bailis. Sahaana’s research focuses on building easily accessible data analytics and machine learning systems that scale. She holds a bachelor’s degree in electrical engineering and computer science from the University of California, Berkeley.

Sessions

2:55pm3:35pm Thursday, September 28, 2017
Stream processing and analytics
Location: 1E 15/16 Level: Intermediate
Secondary topics:  Streaming
Sahaana Suri (Stanford University)
Average rating: *****
(5.00, 1 rating)
Sahaana Suri offers an overview of MacroBase, a new analytics engine from Stanford designed to prioritize the scarcest resource in large-scale, fast-moving data streams: human attention. MacroBase allows reconfigurable, real-time root-cause analyses that have already diagnosed issues in production streams in mobile, data center, and industrial applications. Read more.