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Another big difference between a DWH and a normal database is that you can view the history of changed data at any time. In normal databases, it is common to erase old data to reduce the processing burden. Information that has been changed is either overwritten on the spot or deleted as old information after a certain period of time has passed. However, in the case of a DWH, new information is recorded while the old changed information remains.


By leaving the old information, including the updated tunisia telegram database information, a DWH allows for more comprehensive and flexible data utilization. Download the Customer Management Level Checklist Common issues before implementing a data warehouse To learn more about DWH (Data Warehouse), let's first look at what kind of issues are likely to arise if you don't implement a DWH. The main issues are roughly divided into three categories: Data is scattered and difficult to use In companies that have not implemented a DWH (data warehouse), data managed in databases of multiple systems, or data stored in Excel or other formats by department, is likely to be scattered and separate.


For example, data on production, inventory, sales, and other areas may be scattered. When data within an organization is stored in a dispersed manner and not effectively utilized, this is called "data siloing." Siloed data is difficult to access from other departments, making it difficult to use when trying to make management decisions. If the amount of data being handled is small, the above situation may not be a big problem. However, if a company accumulates huge amounts of data every day across multiple systems and operations, it can cause inconvenience when trying to perform comprehensive data analysis.