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  1. Proceedings of the ACM 14th international workshop on Data Warehousing and OLAP (DOLAP '11)
  2. Column-oriented query processing for row stores
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A rule-based tool for gradual granular data aggregation
Easy and effective parallel programmable ETL
Column-oriented query processing for row stores
Analytics over large-scale multidimensional data: the big data revolution!
Enforcing strictness in integration of dimensions: beyond instance matching
A model-driven framework for ETL process development
Data visualization on web-based OLAP
Building cubes with MapReduce
Building a display of missing information in a data sieve
Interactive exploration and visualization of OLAP cubes
Incremental integration of data warehouses: the hetero-homogeneous approach
Optimization of operator partitions in stream data warehouse
Analyzing continuous fields with OLAP cubes
Towards a more straightforward and more expressive metamodel for SDW modeling
Cascading top-k keyword search over relational databases

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Column-oriented query processing for row stores

Content Provider ACM Digital Library
Author Lang, Christian A. Mihaila, George A. Bhattacharjee, Bishwaranjan El-Helw, Amr Ross, Kenneth A.
Abstract Column-oriented DBMSs have gained increasing interest due to their superior performance for analytical workloads. Prior efforts tried to determine the possibility of simulating the query processing techniques of column-oriented systems in row-oriented databases, in a hope to improve their performance, especially for OLAP and data warehousing applications. In this paper, we show that column-oriented query processing can significantly improve the performance of row-oriented DBMSs. We introduce new operators that take into account the unique characteristics of data obtained from indexes, and exploit new technologies such as flash SSDs and multi-core processors to boost the performance. We demonstrate our approach with an experimental study using a prototype built on a commercial row-oriented DBMS.
Starting Page 67
Ending Page 74
Page Count 8
File Format PDF
ISBN 9781450309639
DOI 10.1145/2064676.2064689
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-10-28
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Query processing Ssd Column-oriented
Content Type Text
Resource Type Article
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