Among the many different inclinations they may have, one is really tempting: the single, large table. Sometimes, the person in charge of making such an important decision has not failed enough times, and they give in to the temptation of trying a different model.
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This is how you become an expert: after tons of errors, you finally learn how to avoid them. After those, you learn to trust star schemas.
All those times, the solution to their problems was to build a star schema. The reason experienced BI professionals always choose a star schema is because they have failed several times with other models. Star schemas are at the core of the data modeling training courses that we have designed and that we deliver.
If you ask a seasoned BI developer how to build a correct data model, you will always obtain the same answer: build a star schema. The fruit of this huge undertaking was the definition of star schemas. Because of the importance of the data model, over the past few years BI developers have spent a lot of energy towards designing patterns and techniques that guarantee solid foundations for a project. The data model is the first choice you have to make as a BI developer, and you want to choose right. A project developed for years and based on the wrong model will fall from a greater height and only cause more damage. We dare add: if the project is doomed to fail, better for it to fail as soon as possible. The speed, reliability, and power of a solution all stem from the same origin: a good data model. A poor data model might oftentimes be the reason the entire project fails. Power BI is no exception: a quality data model lets you build solid and powerful solutions that will work like a breeze for many years.
At the core of any business intelligence solution lies its data model.
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