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Nelson Ray

Nelson Ray
Senior Software Engineer, Metamarkets


Nelson Ray develops data-analytical algorithms as a software engineer at Metamarkets. He holds a B.S., M.S., and Ph.D. in statistics from Stanford University, where he wrote his thesis on the use of machine learning techniques for statistical inference. He has prior experience running large-scale, adaptive experiments at Facebook.


Hardcore Data Science Gramercy Suite
Fangjin Yang (Imply), Nelson Ray (Metamarkets)
Average rating: ****.
(4.00, 8 ratings)
Many exact queries require computation and storage that scale linearly or superlinearly in the data. However, many classes of problems exist for which exact query results are not necessary. We describe the roles of various approximation algorithms that allow Druid, a distributed datastore, to increase query speeds and minimize data volume while maintaining rigorous error bounds on the results. Read more.
Office Hour Table E
Fangjin Yang (Imply), Nelson Ray (Metamarkets)
In our talk, we discussed strategies and algorithms that enable fast, approximate queries over large quantities of data. This is accomplished via substantial pre-computation at ETL, sketching data structures, and distributed computation with an analytic database (Druid, in our case). We'd love to engage with our audience on any of those topics. Read more.


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