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Microsoft Power BI Performance Best Practices

Microsoft Power BI Performance Best Practices

By : Bhavik Merchant
4.5 (6)
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Microsoft Power BI Performance Best Practices

Microsoft Power BI Performance Best Practices

4.5 (6)
By: Bhavik Merchant

Overview of this book

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 implement at 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 explanations of essential concepts and practical examples, you’ll learn about common design choices that affect performance and consume more resources and how to avoid these problems. You’ll grasp the general architectural issues and settings that broadly affect most solutions. 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. We will also cover Power BI Premium and load testing. 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.
Table of Contents (21 chapters)
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1
Part 1: Architecture, Bottlenecks, and Performance Targets
5
Part 2: Performance Analysis, Improvement, and Management
10
Part 3: Fetching, Transforming, and Visualizing Data
13
Part 4: Data Models, Calculations, and Large Datasets
17
Part 5: Optimizing Premium and Embedded Capacities

Chapter 2: Exploring Power BI Architecture and Configuration

In the previous chapter, we established guidelines for setting reasonable performance targets and gained an understanding of the major solution areas and Power BI components that should be considered for holistic performance management.

In this chapter, you will dig deeper into specific architectural choices, learning how and why these decisions affect your solution's performance. You will learn to consider broad requirements and make an informed decision to design a solution that meets the needs of different stakeholders. Ultimately, this chapter will help you choose the best components to host your data within Power BI. We will focus mainly on the efficient movement of data from the source system to end users by improving data throughput and minimizing latency.

We will begin by looking at data storage modes in Power BI and how the data reaches the Power BI dataset. We will cover how to best deploy Power BI gateways...

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