Characteristics of Data Warehouses What makes a data warehouse unique?

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Following are some of the characteristics of a data warehouse that make it able to meet the needs of data scientists: 1. Subject Oriented The data warehouse not only provides data as a whole, but divides it by subject as well. Examples include “sales”, “supply chain”, “marketing”, and the like. That way, users can manage data more easily. Because data analysis can be done on certain subjects without involving other subjects. Data users can also make more specific decisions. Because data that is irrelevant to the subject will not be analyzed. So that the results of data processing will be more accurate.  

Integrated The data warehouse must store data from many sources. Examples include relational databases , clouds, structured data, semi-structured data, metadata, and other data sources. Now, with its integrated character, the data warehouse is able to store all of the data in a consistent and valid manner. So, data users need not doubt the credibility of the data. With Uk Phone Number List credible data, data warehouse users don't need to worry when analyzing different types of data from different sources. 3. Time Based Analysis carried out through the data warehouse still pays attention to changes in data from time to time. Thus, the track record of data changes can be tracked easily. The time span also varies, such as weekly, monthly, yearly, and the like. So, if data is saved at a certain time, info related to that time will be saved automatically.



This characteristic can certainly help data scientists in conducting analysis based on historical perspectives. 4. Stable and Consistent You don't need to worry about losing data when updating or modifying data. Because the data stored in the data warehouse will be stored permanently. That's why the data warehouse is called stable and consistent, because the data in it will always be there. So, if you update the data, the old data will not be deleted and the new data will be stored in a different record. Besides being useful for carrying out historical analysis, data scientists can also easily compare data to find patterns or changes in trends over time. Also read: Walmart Case Study: Increase Sales with the Help of Big Data What are the Components of a Data Warehouse? The data warehouse can function properly because it is supported by several important components.