Power BI: Data Model and Semantic Model | Xyclos

In Power BI and other computing systems, two terms are used when creating the conditions to optimize data usability, carried out in this order:

First, create the Data Model

Second, create the Semantic Model

Data model

A Data Model refers to the organizational structure of data, including collecting, connecting, loading, and organizing tables and their relationships, for use in reports and visualizations (visual objects).

It is the first step in data analysis.

How does Data Modeling work and what does it consist of?

The Data Model is a set of actions defined in:

• Power Query Editor (M Language)

  • Loading, transforming and cleaning data known as ETL (Extract, Transform, Load)

  • Normalizing data to avoid redundancies with Power Query

  • Create the fact tables and dimension tables

• Model view

  • Establish relationships between tables

  • Control cardinality (one to many, one to one)

  • Control the direction of the filters (unidirectional, bidirectional)

  • Visualize the Data Model as a Diagram

  
  

All this work will facilitate interpretation and analysis with visual objects or visualizations, since by having well-structured relationships and tables, users can interact with the data dynamically and obtain valuable insights.

Okay, so once this process is complete we move on to defining the Semantic Model.

Semantic model

What does the word semantic mean?

The term "semantic" comes from the ancient Greek "sēmantikós" (σημαντικός), meaning "relating to meaning" or "significant".

In computing systems, the term semantic refers to establishing an ecosystem designed to be user-friendly, easy to understand for end users, and focused on analysis.

What are the processes to be carried out to define the semantic model?

The Semantic Model is built on top of the Data Model, adding a layer of meaning and business logic on top of the Data Model.

• Create measures

• Create calculated columns

• Create Hierarchies to drill down such as: Year, Semester, Quarter, Month, Week, Day

• Controlling access to data (Row level security)

• Set meaningful labels for measures, tables, and columns, aligned with the business

• Formatting data These processes are performed in Table View and Report View

Power BI Learning

Learning Power BI at an advanced level is essential for any professional looking to master data analysis and strategic decision making based on business data.

By enrolling in the Power BI Business Management with KPIs course, you will acquire key skills that will transform the way you manage and analyze information within your organization.

This course not only gives you a deep understanding of Power BI, but also equips you with advanced tools to take your analysis to the next level:

Data Modeling: Data modeling is at the heart of Power BI. You'll learn how to structure your data efficiently, allowing it to be connected and visualized correctly. Without a well-built data model, it's difficult to perform accurate analysis and gain valuable insights.

DAX Programming Methods: DAX (Data Analysis Expressions) is the programming language used in Power BI to create measures and calculated columns. Mastering DAX will allow you to customize calculations and perform dynamic analysis beyond standard formulas, significantly improving the quality of your reports.

Goal Monitoring and KPI Creation: Tracking business goals is crucial to organizational success. In this course, you will learn how to create KPIs (Key Performance Indicators) that will allow you to measure performance against key objectives, providing a clear view of how your company is achieving its goals.

Automating Data Refresh: Automating data refresh is an essential skill for professionals who handle large volumes of information. You will learn how to configure Power BI so that data is automatically refreshed, ensuring that you are always working with the most up-to-date and accurate information.

Benefit of the course

This Power BI course not only covers the technical aspects, but provides you with a practical and strategic approach to controlling business performance through KPIs, advanced modeling, and automation. The ability to efficiently manage and analyze data is a competitive advantage in today's environment, and this course will help you achieve it.

Ultimately, mastering Power BI at an advanced level is not just a technical advantage, but a strategic investment to improve decision-making, optimize processes, and lead your company to greater success.

#DataModel #SemanticModel #AdvancedPowerBI #DataAnalysis #BusinessKPIs #DataAutomation #PowerBICourse #DAXPowerBI #BusinessManagement #KeyPerformanceIndicators