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Mastering Data Modeling Fundamentals in Power BI

Learn how to create relationships, calculated columns measures and use DAX formulas in Power BI Data Modeling

     
  • 2.8
  •  |
  • Reviews ( 86 )
₹1299

This Course Includes

  • iconudemy
  • icon2.8 (86 reviews )
  • icon41 total mins
  • iconenglish
  • iconOnline - Self Paced
  • iconcourse
  • iconUdemy

About Mastering Data Modeling Fundamentals in Power BI

Connect Power BI to multiple data sources to create reports. Define the relationship between your data sources.

Learning objectives

In this module, you will:

Create relationships between your data sources

Create a new field with calculated columns

Optimize data by hiding fields and sorting visualization data

Create a measure to perform calculations on your data

Use a calculated table to create a relationship between two tables

Format time-based data so that you can drill down for more details

This module is part of these learning paths

Create and use analytics reports with Power BI

Introduction to modeling your data

How to manage your data relationships

Create calculated columns

Optimize data models

Create measures

Create calculated tables

Explore time-based data

Check your knowledge

Summary

One of Power BI's strengths is that you don't need to flatten your data into a single table. Instead, you can use multiple tables from multiple sources and define the relationship between them.How to manage your data relationships

The Model view in Power BI Desktop allows you to visually set the relationship between tables or elements. A relationship is where two or more tables are linked together because they contain related data. This enables users to run queries for related data across multiple tables. Use the Model view to see a diagrammatic view of your data.

What You Will Learn?

  • Introduction to Power BI.
  • Introduction to interface and tools.
  • Create relationships between your data sources.
  • Create a new field with calculated columns.
  • Optimize data by hiding fields and sorting visualization data.
  • Create a measure to perform calculations on your data.
  • Use a calculated table to create a relationship between two tables.
  • Format time-based data so that you can drill down for more details.