Hedge Fund Two Sigma’s Wes McKinney talks about big data and interoperability

There are many different components and systems for solving big data problems and one of the big challenges is interoperability. There can be high costs associated with plugging components together to transfer data between one system and another. The Apache Arrow project is good example of how to address issues of cost, speed and flexibility associated with interoperability. It’s a collaboration of a dozen or so big data projects that decided to create a piece of technology enabling them to plug their systems together more efficiently, move data around very fast and process it in memory without a great deal of conversion. Someone who is passionate about projects like this is Wes McKinney, the venerated data scientist who started the Pandas open source project while at hedge fund AQR Capital…


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