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Computing That Serves

Dremel: Interactive Analysis of Web-Scale Datasets

Date: 

Thursday, February 17, 2011 - 11:00am

Speaker: 

Matt Tolton
Senior Software Engineer
Google

Host: 

Eric Mercer

Dremel is a scalable, interactive ad-hoc query system for analysis of read-only nested data. By combining multi-level execution trees and columnar data layout, it is capable of running aggregation queries over trillion-row tables in seconds. The system scales to thousands of CPUs and petabytes of data, and has thousands of users at Google. I'll describe the architecture and implementation of Dremel, and talk about how it complements MapReduce-based computing. I'll present a novel columnar storage representation for nested records and discuss experiments on few-thousand node instances of the system.

Biography: 

Matt Tolton is currently a senior software engineer at Google, working out of their Seattle office.  He is the technical lead of the team working on Dremel, a distributed SQL engine for interactive analytical processing.  Matt graduated with a Bachelor's degree in Computer Science from Brigham Young University in 2008.




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