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Making Data Management Better with Vectorized Query Processing

Published: 09 June 2024 Publication History

Abstract

Vectorized query processing is a query processing technique that 20 years ago was introduced in the Vectorwise database system, originally developed in the CWI database architectures research group. Nowadays, it is employed by most analytical data systems, from recent systems like DuckDB, Clickhouse, Velox, DataFusion and Polars to analytical cloud services such as Snowflake, BigQuery, Databricks and MotherDuck. The keynote will tell the story of vectorized query processing, as it evolved in research and industry over the past two decades. It will conclude with a reflection on the purpose of our research ("making data management better").

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  1. Making Data Management Better with Vectorized Query Processing

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    cover image ACM Conferences
    SIGMOD/PODS '24: Companion of the 2024 International Conference on Management of Data
    June 2024
    694 pages
    ISBN:9798400704222
    DOI:10.1145/3626246
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 09 June 2024

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    1. vectorized compression
    2. vectorized query processing

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    SIGMOD/PODS '24
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