What is Power BI Semantic Model: A Comprehensive Guide for Education and Formal Use
Disclaimer: This content is provided for informational purposes only and does not intend to substitute financial, educational, health, nutritional, medical, legal, etc advice provided by a professional.
What is Power BI Semantic Model?
Power BI Semantic Model is a powerful data source in the Power BI service that allows you to create visualizations, reports, and perform data analysis easily. It represents a source of data that is ready for reporting and visualization, making it an essential tool for businesses and organizations.
In this article
In this article, we will dive deep into the concept of Power BI Semantic Models and explore its various aspects. We will cover the following topics:
- Semantic model types
- Summary of Power BI Semantic Models
- Considerations for using Semantic Models
- External-hosted models
- Power BI Desktop-developed models
- Semantic model ownership
- Row-level security
- Excel workbook models
- Additional resources for learning more about Power BI Semantic Models
Semantic model types
There are various types of semantic models in Power BI, each serving a specific purpose. These include:
- External-hosted models
- Power BI Desktop-developed models
- Excel workbook models
Summary of Power BI Semantic Models
Power BI Semantic Models serve as a source of data ready for reporting and visualization. They simplify the process of working with complex data by providing a structured and organized representation of the data.
Considerations for using Semantic Models
When using Power BI Semantic Models, it is important to consider the following:
- Understanding the different types of semantic models
- Ownership and security of semantic models
- Row-level security for controlling access to data
External-hosted models
External-hosted models are semantic models that are hosted outside of the Power BI service. These models are connected to Power BI through data gateways, allowing users to access and visualize the data from various sources.
Power BI Desktop-developed models
Power BI Desktop-developed models are semantic models that are created using Power BI Desktop. These models allow users to import, transform, and organize data from multiple sources before creating visualizations and reports.
Semantic model ownership
Ownership of semantic models in Power BI refers to the responsibility of maintaining and updating the models. It is important to clearly define the ownership of semantic models to ensure proper management and governance of the data.
Row-level security
Row-level security is a feature in Power BI that allows users to control access to data at a row level. This ensures that each user can only see the data that they are authorized to view, enhancing data security and privacy.
Excel workbook models
Excel workbook models are semantic models that are created using Excel and can be connected to Power BI. These models allow users to leverage their existing Excel knowledge and skills to create powerful visualizations and reports in Power BI.
Additional resources
For more information on Power BI Semantic Models, check out these additional resources:
- Power BI Documentation
- Power BI Community Forum
- Power BI YouTube Channel
Summary
In summary, Power BI Semantic Models are an essential component of the Power BI service that enables users to create powerful visualizations, reports, and perform data analysis. Understanding the different types of semantic models, considerations for using them, and leveraging the various features and resources available can greatly enhance the data analysis capabilities of businesses and organizations.
Disclaimer: This content is provided for informational purposes only and does not intend to substitute financial, educational, health, nutritional, medical, legal, etc advice provided by a professional.
