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Microsoft Power BI Performance Best Practices - Bhavik Merchant

Microsoft Power BI Performance Best Practices

A comprehensive guide to building consistently fast Power BI solutions

(Autor)

Buch | Softcover
312 Seiten
2022
Packt Publishing Limited (Verlag)
978-1-80107-644-9 (ISBN)
CHF 78,50 inkl. MwSt
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

Learn how to build performant data models and apply Row-Level Security
Identify and fix performance issues in reports, DAX, and datasets using DAX Studio/VertiPaq Analyzer
Use a formal process to manage performance, from setting targets to monitoring and remediating issues

Book DescriptionThis 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.What you will learn

Understand how to set realistic performance targets and address performance proactively
Understand how architectural options and configuration affect performance
Build efficient Power BI reports and data transformations
Explore best practices for data modeling, DAX, and large datasets
Understand the inner workings of Power BI Premium
Explore options for extreme scale with Azure services
Understand how to use tools that help identify and fix performance issues

Who this book is forData 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 components of Power BI and a beginner-level understanding of their purpose and use cases are required.

Bhavik Merchant has nearly 18 years of deep experience in Business Intelligence. He is currently the Director of Product Analytics at Salesforce. Prior to that, he was at Microsoft, first as a Cloud Solution Architect and then as a Product Manager in the Power BI Engineering team. At Power BI, he led the customer-facing insights program, being responsible for the strategy and technical framework to deliver system-wide usage and performance insights to customers. Before Microsoft, Bhavik spent years managing high-caliber consulting teams delivering enterprise-scale BI projects. He has provided extensive technical and theoretical BI training over the years, including expert Power BI performance training he developed for top Microsoft Partners globally.

Table of Contents

Setting Targets and Identifying Problem Areas
Exploring Power BI Architecture and Configuration
DirectQuery Optimization
Analyzing Logs and Metrics
Desktop Performance Analyzer
Third-Party Utilities
Governing with a Performance Framework
Loading, Transforming, and Refreshing Data
Report and Dashboard Design
Data Modeling and Row-Level Security
Improving DAX
High-Scale Patterns
Optimizing Premium and Embedded Capacities
Embedding in Applications

Erscheinungsdatum
Vorwort Christopher Webb
Verlagsort Birmingham
Sprache englisch
Maße 191 x 235 mm
Themenwelt Mathematik / Informatik Informatik Grafik / Design
ISBN-10 1-80107-644-8 / 1801076448
ISBN-13 978-1-80107-644-9 / 9781801076449
Zustand Neuware
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