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Key benefits

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 and VertiPaq Analyzer

Implement a formal process for performance management, from setting targets to monitoring and remediating issues

Purchase of the print or Kindle book includes a free PDF eBook

Description

In a world dominated by data, organizations heavily rely on business intelligence tools like Power BI for deriving insights and informed decision-making. Yet, as data volumes grow and user demands increase, achieving optimal performance becomes challenging. Author Thomas LeBlanc, a seasoned Business Intelligence Architect with over 30 years of IT experience, draws on his extensive expertise to guide you in overcoming challenges related to slow performance, data modeling, query optimization, visualization design, deployment, administration, integration, compliance, and security. This book covers topics ranging from architecture and data modeling to Power BI premium features, DAX formulas, and collaboration, helping you to gain a deep understanding of the Power BI architecture, design efficient data models, create efficient queries, and improve visualization performance. You’ll also learn best practices to deploy and manage Power BI solutions, integrate with other tools and systems, ensure compliance and security, and collaborate with team members. By the end of the book, you’ll have developed your knowledge and skills to design, build, and maintain high-performing, scalable, and efficient Power BI solutions to drive unparalleled business success.

Who is this book for?

If you are a data analyst, BI developer, or a data professional who wants to maximize the performance of your Power BI solutions and understand how to build advanced analytics solutions, this book is for you. It assumes familiarity with the major components of Power BI and a beginner-level understanding of their purpose and use cases.

What you will learn

Master setting realistic performance targets and proactively addressing performance challenges

Understand the impact of architectural choices and configurations on performance optimization

Develop streamlined Power BI reports and enhance data transformations for optimal efficiency

Explore best practices for data modeling, mastering DAX, and handling large datasets effectively

Gain insight into the intricate workings of Power BI Premium for enhanced performance

Harness the potential of Azure services for extreme scale data processing

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

€30.99 ~~€44.99~~

€28.99 ~~€41.99~~

Microsoft Power BI Performance Best Practices

€22.99 ~~€33.99~~

Total € 82.97 120.97 38.00 saved

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Shipping Details

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Shipments are not trackable

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Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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Rusty Oct 26, 2024

Trying to performance tune an analytics solution, especially on the Power BI platform, can feel like navigating a maze for even the most seasoned developers and system administrators. Questions like, “Should I build an index in the source database?” “Is my DAX efficient enough?” “Should we use DirectQuery?” and “Can Power BI even handle this much data?”can come at you furiously. More often than not, the answer is a frustrating “it depends….”In their book, LeBlanc and Merchant do a great job of demystifying what clients of all sizes might mean when they ask for “better performance” from a report or dashboard. They break down the Power BI solution into its component tools and services, then lay out a roadmap for determining which layers might be the culprits behind performance issues.From tips on improving DAX to choosing alternative data loading patterns to recommending third-party tools for performance analysis, the authors provide both theoretical and practical methods for installations of all sizes. Unlike many other resources on performance tuning, LeBlanc and Merchant aren’t afraid to tackle the needs of clients using Power BI at scale. They dive into features and utilities available in Premium and other advanced SKUs, including alternative data load patterns that become essential when dealing with massive data volumes.I recommend it wholeheartedly.

Amazon Verified review

Microsoft Power BI Performance Best Practices: Learn practical techniques for building high-speed Power BI solutions , Second Edition

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