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. |