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Microsoft Power BI Performance Best Practices : A comprehensive guide to building consistently fast Power BI solutions - Bhavik Merchant

Microsoft Power BI Performance Best Practices

A comprehensive guide to building consistently fast Power BI solutions

By: Bhavik Merchant, Christopher Webb

eText | 22 August 2205 | Edition Number 1

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Supercharge Performance Analytics and create repeatable patterns to ensure you get the best performance and scalability from your analytics solutions with Power BI

Key Features

  • Get to grips with data modeling and Row Level Security
  • Use DAX Studio/Vertipaq Analyzer to debug DAX and model-related performance problems and analyze exported desktop performance data
  • Achieve performant designs using Power BI Solutions Cycle

Book Description

This book comprehensively covers every layer of Power BI, from the report canvas to data modeling, transformations, storage, and architecture.

Developers and architects working with any area of Power BI will be able to put their knowledge to work with this practical guide to design and implementation in every stage of the analytics solution development process. This book is not only a unique collection of best practices and tips but also provides you with a hands-on approach to identifying and fixing common performance issues.

Complete with step-by-step explanations of essential concepts, practical examples and self-assessment questions, you'll learn about common design choices that affect performance and consume more resources and how to avoid these problems. You'll understand general architectural issues and settings that affect most solutions broadly. As you progress, you'll walk through each layer of a typical Power BI solution, learning how to ensure your designs can handle scale while not sacrificing usability. You'll focus on the data layer and then work your way up to report design.

By the end of this Power BI book, you'll be able to confidently maintain well-performing Power BI solutions with reduced effort and know how to use freely available tools and a systematic process to monitor and diagnose performance problems.

What you will learn

  • Understand how architecture settings and configuration affect scalability
  • Build efficient Power BI reports and data transformations
  • Explore best practices for data modeling, DAX, and working with large datasets
  • Understand the inner workings of Power BI Premium
  • Discover which metrics and tools you should use to identify and fix performance issues
  • Retrieve and analyze diagnostic logs for native Azure Analysis Services offerings

Who This Book Is For

Data analysts, BI developers, and data professionals who have learnt the basics of Power BI and now want to understand how to build advanced analytics solutions will find this business intelligence book useful. Familiarity with the major aspects of Power BI and a beginner-level understanding of their purpose and use cases are required.

Table of Contents

  1. Setting Targets and Identifying Problem Areas
  2. Exploring Power BI Architecture and Configuration
  3. DirectQuery Optimization
  4. Analyzing Logs and Metrics
  5. Desktop Performance Analyzer
  6. Third-Party Utilities
  7. Performance Governance Framework
  8. Loading, Transforming, and Refreshing Data
  9. Report and Dashboard Design
  10. Data Modeling and Row Level Security
  11. Improving DAX
  12. High Scale Patterns
  13. Power BI Premium/Embedded
  14. Embedding in Web Apps
  15. Capacity Planning and Load Testing
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