A Billion Rows Per Second

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As big data continues to prevail, many early adopter companies have a need to understand what this new level of data volume is saying. But, how do you query 10s of billions of data points? How can a company begin to make sense of so much information?

Ville Tuulos, Principle Engineer at AdRoll, a company producing tons of big data, demonstrates how his company uses Python to squeeze every bit of performance out of a single high-end server. They manage it with Numba, a new NumPy aware dynamic Python compiler based on LLVM, and thanks to Python, the system can provide a very expressive and developer-friendly API. Find out more in this informative talk from the San Francisco Python Meetup Group.

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