Optimize Model Performance with Power BI from Pluralsight

Creating a Power BI report may look like an easy task, but there is a huge difference between the Power BI report that just works and the Power BI report that works efficiently!

Congratulations! You've built your beautiful Power BI report and your charts look terrific, but your data refresh takes forever or, your report renders slow when interacting with visuals.

In this course, Optimize Model Performance with Power BI, you’ll gain the ability to improve the efficiency of your Power BI reporting solution. First, you’ll explore how to reduce the data model size by removing unnecessary columns and rows. Next, you’ll discover the importance of the column cardinality and how it can affect data model performance. Then, you’ll also understand the benefits of using aggregations feature to make things running faster. Finally, you’ll learn how to identify and resolve poorly performing report elements, such as measures and visuals. When you’re finished with this course, you’ll have the foundational understanding of data model optimization techniques that will enable you to build more efficient Power BI solutions and get you ready for the PL-300 exam.

What's inside

Syllabus

Course Overview

Understanding Core Concepts of Performance Optimization

Optimizing Data Model Performance by Improving Cardinality Levels

Optimizing Data Model Performance with Aggregations

Identifying Poorly Performing Report Elements

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Builds on core concepts of data model optimization, improving efficiency in Power BI reporting solutions

Develops competency in reducing data model size and optimizing cardinality levels for improved performance

Emphasizes the benefits of using aggregations to enhance report execution speed

Provides techniques for identifying and resolving poorly performing report elements, such as measures and visuals

Positions learners for success in the PL-300 exam

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Optimize Model Performance with Power BI with these activities:

Participate in a peer study group

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Engage with other students to discuss course concepts and work on exercises together.

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Join or create a peer study group
Establish regular meeting times
Review course materials and work on assignments together

Start a project to track the performance of a Power BI report or dashboard

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Gain practical experience in monitoring and improving the performance of a real-world BI solution.

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Choose a Power BI report or dashboard that you want to track
Establish metrics to measure the performance of the report or dashboard
Monitor the performance of the report or dashboard over time
Identify any performance issues and implement solutions to resolve them

Create a sample Power BI model and improve its performance

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Apply the techniques learned in the course to improve the performance of a real-world Power BI model.

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Create a sample Power BI model with a large dataset
Analyze the performance of the model using Performance Analyzer
Implement optimization techniques to improve the model's performance
Test the performance of the optimized model

One other activity

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Create a Power BI report or dashboard that demonstrates optimal performance

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Apply the skills and techniques learned in the course to create a high-quality, performant BI solution.

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Gather and prepare the data for the report or dashboard
Design and create the report or dashboard, using best practices for performance optimization
Test the performance of the report or dashboard and make necessary improvements
Deploy the report or dashboard and monitor its performance

Career center

Learners who complete Optimize Model Performance with Power BI will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts work with businesses to identify and solve problems using data analysis. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

See salaries and explore the career path for Business Analyst

Data Engineer

Data Engineers are responsible for designing and building the infrastructure that stores and processes data. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators are responsible for managing and maintaining databases. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

See salaries and explore the career path for Database Administrator

Data Scientist

Data Scientists use data to build models that can predict future outcomes. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

See salaries and explore the career path for Data Scientist

Product Manager

Product Managers are responsible for managing the development and launch of new products. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

See salaries and explore the career path for Product Manager

Data Visualization Specialist

Data Visualization Specialists use data to create visual representations of data. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

See salaries and explore the career path for Data Visualization Specialist

Actuary

Actuaries use data to assess risk and uncertainty. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

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Market Researcher

Market Researchers use data to understand consumer behavior. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

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Project Manager

Project Managers are responsible for planning and executing projects. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

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User Experience Designer

User Experience Designers use data to design and evaluate user interfaces. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

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Operations Research Analyst

Operations Research Analysts use data to improve the efficiency of operations. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

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Statistician

Statisticians use data to make inferences about populations. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

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Software Engineer

Software Engineers design and develop software applications. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

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Financial Analyst

Financial Analysts use data to make investment recommendations. This course can help you develop the skills you need to succeed in this role, such as how to optimize data models for performance and identify poorly performing report elements.

See salaries and explore the career path for Financial Analyst