📜  数据仓库和在线事务处理 (OLTP) 之间的区别

📅  最后修改于: 2021-09-15 01:05:38             🧑  作者: Mango

1. 数据仓库:
它是一种从不同来源收集或收集数据到中央存储库的技术,或者简单地说,它是从不同来源获得的单一完整且一致的数据存储。它是一个强大的数据库模型,增强了用户分析海量多维数据集的能力,使用户能够根据事实做出业务决策,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):
这是一种用于详细的日常交易数据的技术,这些数据每天都保持链接。它是大量的短线在线交易。其中有详细的当前数据或模式用于存储事务数据库(3NF)。它使用传统的数据库,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.