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 |
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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. |