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Office Hour with Nelson Ray & Fangjin Yang

Fangjin Yang (Metamarkets), Nelson Ray (Metamarkets)
Office Hour Table E

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, for example:

  • approximation algorithms for applications such as cardinality, quantile, and heavy hitters estimation
  • fast, distributed, analytic databases such as Druid
Photo of Fangjin Yang

Fangjin Yang


Fangjin is one of the first developers to Metamarkets and the Druid project. He mainly works on core infrastructure development. Fangjin comes to Metamarkets from Cisco where he developed diagnostic algorithms for various routers and switches. He holds a BASc in Electrical Engineering and a MASc in Computer Engineering from the University of Waterloo, Canada.

Photo of Nelson Ray

Nelson Ray


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.


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