Modern Data Warehouse Tools

被引：0
|
作者：
Yadav, Rakhee [1 ]
Sharma, Yogesh Kumar [1 ]
Patil, Rajendra [1 ]
机构：
[1] Shri JJT Univ, Jhunjhunu, Rajasthan, India
来源：
BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS | 2020年 / 13卷 / 10期
关键词：
DATA WAREHOUSE; DATA LAKE; ETL; CONCURRENCY;
D O I：
暂无
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
Organizations today rely highly on data that they ever did before. Yet much of these data are spread around various structures and working out what can be done is a super complicated and repetitive job. Some businesses spend a lot of time and resources in building up their own data warehouse to address this issue. This can be difficult to pick the correct data warehouse, as each company has a particular business requirement or use case and one answer does not suit all. This paper covers all important aspects that an organization must consider while finalizing the right suited data warehouse for their business process.
引用
收藏
页码：102 / 105
页数：4
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