4–7 Nov 2019
Homin Lee
Data Scientist, Datadog
Homin Lee is a data scientist at Datadog, where he writes algorithms that process trillions of data points a day. Previously, Homin built large-scale machine learning systems at several startups. Homin has a PhD from Columbia University in computational learning theory and was a Computing Innovation Fellow at the University of Texas at Austin.
Sessions
13:25–14:05 Wednesday, 6 November 2019
Location: M1
Homin Lee (Datadog)
Average rating:
(2.00, 3 ratings)
Homin Lee details constructing and using knowledge graphs to help DevOps teams make sense of the overwhelming volume of metric, log, trace, and event data generated by today's observability systems.
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