BI Semantic Models
What's in this chapter?
Introduction to data modeling
The BI Semantic Model
The conceptual architecture of the BI Semantic Model
Options for building models
Building reports requires some level of understanding the underlying data. This is often expressed as metadata and called a model. The model can be as simple as a flat list of fields returned by a query used in a report, or sophisticated enough to express complex data relationships and calculations.
In this chapter, you will learn about dimensional and relational modeling. You will explore how the BI Semantic Model supports both types of data models as a unified semantic model. You will discover the conceptual layers of the BI Semantic Model. They provide flexibility in how you can create models, richness in how you can express business logic, and scalability in terms of model and organizational sizes.
Furthermore, you will explore the options available for building each layer of the model. You will learn about designing data access and storage, see how to implement business logic in the model, and learn how other tools, such as Excel and Power View, use the model. You also will become familiar with dimensional modeling and relational/tabular modeling, discover the spectrum and needs of BI applications, explore the conceptual architecture of the BI Semantic Model, and understand the model's hybrid nature.
Introduction to Data Modeling
In previous chapters, you started to build your first reports, ...