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Aaron Elmore: Adventures in Database Compression
January 26 @ 3:30 pm - 5:00 pm
Prof. Aaron Elmore
University of Chicago
Abstract: Columnar databases enable effective compression by improving entropy through attribute locality and provides opportunities for fast query execution directly on compressed data. In this talk I will briefly overview how compressed query execution works in columnar systems and discuss techniques developed by our group over the past several years. This includes a pattern-inferred attribute decomposition for improved string compression and query performance, a bounded float compression technique for fast filtering on limited precision numeric data, and partially ordered dictionary compression.