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Data Modeling with Power BI
in Data Analytics with Microsoft Power BIWhat you will learn?
Understand the importance of data modeling in Power BI and its impact on analysis and reporting.
Navigate the Power BI interface and utilize its tools for data modeling purposes.
Load data from different sources into Power BI and ensure data quality.
Create and manage relationships between tables based on the data's semantic relationships.
Utilize the autodetect feature to automatically establish relationships in Power BI.
Define and adjust cardinality settings to accurately represent the relationships between tables
Understand the concept of bi-directional relationships and their implications.
Explore table properties and column properties to enhance the data modeling process.
Create hierarchies to organize and analyze data in a structured manner.
Apply best practices for data modeling and relationship management in Power BI.
About this course
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Welcome to the course
Welcome to the course forum!
The course forum is a dedicated space for you to connect with your classmates, instructors, and course team.
Introduction to Data Modeling
Slide Deck: Introduction to Data Modeling
Introduction to Power BI Data Models
Reading: Effective Data Model
Download the datasets and follow along with the demos.
Introduction to the sample dataset
Data Transformation
Data transformation
Setting Column properties
Reading: Working with tables and columns
Introduction to Fact and Dimension tables
Introduction to schemas
Flat Schemas
Star schemas
Snowflake Schemas
Star schemas in depth
Normalization vs. denormalization
Introduction to relationships
Star Schemas_Practical
Using Auto Detect relationships
Primary and foreign keys
Defining relationships
Creating relationship with auto layout
Working with flat schema
Working with flat schema
Creating star schema for flat schema
In this exercise, you can apply your knowledge of these data models to configure the Flat schema.
You will walk through the steps to create a Flat schema in Power BI using the example of an online bicycle store called Adventure Works.
You'll demonstrate how the store uses a schema to consolidate and analyze data, leading to better business decisions.
In the exercise, you must apply your knowledge of data models to build and configure a Flat schema in Power BI.
You'll walk through the steps to create a Flat schema in Power BI using the Adventure Works dataset.
The goal is to merge two different tables of datasets into a single consolidated dataset to build a Flat schema that can be utilized for data analysis and visualization.
Managing relationships
Cardinality
Cardinality
Reading: Work with relationships and cardinality
Cross filter direction
Reading: Cross Filter Direction
Role-playing dimensions
Working with hierarchies
Reading: Creating Hierarchies
Active and inactive relationship
Optimizing your data models
Congratulations on completing the course.
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