Data Warehouse Testing

被引：1
|
作者：
Homayouni, Hajar [1 ]
Ghosh, Sudipto [1 ]
Ray, Indrakshi [1 ]
机构：
[1] Colorado State Univ, Ft Collins, CO 80523 USA
来源：
ADVANCES IN COMPUTERS, VOL 112 | 2019年 / 112卷
基金：
美国国家科学基金会;
关键词：
Data warehouse; Extract-Transform-Load; Functional testing; Performance testing; Security testing; Systematic testing;
D O I：
10.1016/bs.adcom.2017.12.005
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Enterprises use data warehouses to accumulate data from multiple sources for data analysis and research. Since organizational decisions are often made based on the data stored in a data warehouse, all its components must be rigorously tested. Researchers have proposed a number of approaches and tools to test and evaluate different components of data warehouse systems. In this chapter, we present a comprehensive survey of data warehouse testing techniques. We define a classification framework that can categorize the existing testing approaches. We also discuss open problems and propose research directions.
引用
收藏
页码：223 / 273
页数：51
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