📜  数据仓库和在线事务处理(OLTP)之间的区别

📅  最后修改于: 2021-08-25 10:44:17             🧑  作者: Mango

1.数据仓库:
这是一种将来自不同来源的数据收集或收集到中央存储库中的技术,或者简单地说,我们可以说是从不同来源获得的数据的单个完整且一致的存储。它是一个功能强大的数据库模型,可增强用户分析庞大的多维数据集的能力,从而使用户可以基于事实做出业务决策,并可以跟踪快速有效的决策或提供必要的信息。

2.在线交易处理(OLTP):
这是用于每天保持链接的详细日常交易数据的技术。这是大量的短期在线交易。其中包含用于存储事务数据库(3NF)之类的详细的当前数据或架构,它使用传统的数据库,该数据库包括插入,删除,更新以及支持查询要求。

数据仓库和在线事务处理(OLTP)之间的区别:

Data Warehousing DWH Online transaction
It is technique that gathers or collect data from different sources into central repository. It is technique that is used for detailed day to day transaction data which keep chaining on everyday.
It is designed for decision making process. It is designed for business transaction process.
It stores large amount of data or historical data. It holds current data.
It used for analyzing the business. It used for running the business.
In Data warehousing, the size of database is around 100GB-2TB . In Online transaction processing, the size of data base is around 10MB-100GB.
In Data warehousing, denormalized data is present. In Online transaction processing, normalized data is present.
It uses Query processing. It uses transaction processing
It is subject-oriented. It is application-oriented.
In Data warehousing, data redundancy is present. In Online transaction processing, there is no data redundancy.