Advanced-Data Modeling Techniques in Power BI Service
Businesses have a huge flow of information and data that needs organization. Often, this is not something hands-on or manual flipping and sorting can achieve on its own. Instead, we must leverage the use of advanced data modeling techniques in Power BI.
This is the process of segregating and categorizing all the different types of data your business acquires and produces and establishing logical relations among those individual elements.
This is done by using – ss, you maybe guessed it- advanced da modeling techniques. These include things like- graphical representations, data modeling concepts, symbols, and texts to store and keep as your business determines how data is used and when the data modeling process becomes an exercise in data hygiene.
How does advanced data modeling work?
It is safe to say that data modeling is not a singular process. Depending on the type of data you’re dealing with, you might have to change the process of organizing said information.
Conceptual data modeling
This is the first step for data modeling techniques. It explains the overarching structure of your company and its information. This is mostly used for categorizing business ideas. Any conceptual data model is swayed by the stakeholders of your business as well as the architects working on building this model.
For instance, if you have customer, workers, and product data- each of these data categories is known as entities. Each entity has a unique connection with other entities. This is where the conceptual data model comes into establishing those relationships.
Logical data modeling
When the conceptual model is done, the logical model comes next, with detailed cases of data within each entity bucket. It works to establish the relationships between the individual characteristics of each entity.
For instance, let’s say a customer purchases a product from a sales representative. The logical and technical models are used to establish this pathway of the relationship between these three entities, that is, the customer, the products, and the person bridging the two together.
Physical data modeling
Here, we take the information used in the logical data model to propose it for the database administrators and developers. This data is made available throughout the business networks to make sure it is accessible to employees at all times. This is basically the final stage of modeling, which is what the previous two kinds have been leading towards in the process of databasization.
Wrapping Up
This brings us to a close on some of the advanced data modeling techniques that are a part of Power BI services. These are foundational for categorizing and archiving all the flow of data that occurs on a daily basis in any business. These three techniques of information flow determine how the data being generated and acquired by a business are made available to the people working for their use.
