When it come to designing Data Warehouses and in extend Business Intelligence applications there are a couple of paths we can follow to achieve the desired outcome. In this post we will discuss the three most common approaches regarding Data Warehouses’ architectures. Most likely you have already encounter some of them even without knowing it.…
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Facts and Dimensions in Data Warehousing
![facts_and_dimensions_data_warehousing](http://karolos.me/wp-content/uploads/2021/07/fact_and_dimensions.jpg)
When developing Data Warehouses -and in extend Business Intelligence solutions- there are several standards which we can follow to make some tasks “easier” -or if you prefer, streamline some processes. To be more specific when we want to model our Data Warehouse, Dimensional modeling would be our go-to technique. Dimensional modeling is widely accepted as…
Read moreHandling Slowly Changing Dimensions in ETL/BI – From theory to implementation
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Slowly Changing Dimensions in Data Warehousing are dimensions that will change over time slowly – instead of changing in regular intervals. Think for example a customer’s address. This is an attribute that it will be not changing on the regular data refreshes, but it could change at some point in the future. In Data Warehouses…
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