Making Data Management Better with Vectorized Query Processing

被引：0
|
作者：
Boncz, Peter [1 ,2 ]
机构：
[1] CWI, Amsterdam, Netherlands
[2] MotherDuck, Amsterdam, Netherlands
来源：
COMPANION OF THE 2024 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, SIGMOD-COMPANION 2024 | 2024年
关键词：
D O I：
10.1145/3626246.3656001
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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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收藏
页码：4 / 4
页数：1
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