How to architect the perfect Data Warehouse

Key warehousing techniques made simple

Data Warehousing: Simplified


Unfortunately, not all data is created equally, but it’s data nonetheless and therefore carries value.


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The staging area should also be seen as transient.


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You have data that is clean and appropriately named to match the business language, modelled correctly ready for any exploration or calculations to be done downstream.


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“Charts with statistics on the screen of a laptop on a glossy surface” by Carlos Muza on Unsplash

All of this from one place, with no joins and most of the heavy lifting done as it should be done, using the power of the data warehouse.

In Summary

Data and Productivity Writer — Data Architect at

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