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Microsoft Power BI Performance Best Practices
Microsoft Power BI Performance Best Practices

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

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Profile Icon Thomas LeBlanc Profile Icon Bhavik Merchant
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$44.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Paperback Aug 2024 346 pages 2nd Edition
eBook
$24.99 $35.99
Paperback
$44.99
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Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Thomas LeBlanc Profile Icon Bhavik Merchant
Arrow right icon
$44.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Paperback Aug 2024 346 pages 2nd Edition
eBook
$24.99 $35.99
Paperback
$44.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$24.99 $35.99
Paperback
$44.99
Subscription
Free Trial
Renews at $19.99p/m

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Microsoft Power BI Performance Best Practices

Part 1: Architecture, Bottlenecks, and Performance Targets

In this part, we will review high-level Power BI architecture and identify areas where performance can be affected by design choices. We will explain how to define realistic performance targets.

This part has the following chapters:

  • Chapter 1, Setting Targets and Identifying Problem Areas
  • Chapter 2, Exploring Power BI Architecture and Configuration
  • Chapter 3, Learning the Tools for Performance Tuning
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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
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Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 23, 2024
Length: 346 pages
Edition : 2nd
Language : English
ISBN-13 : 9781835082256
Category :
Languages :
Tools :

What do you get with Print?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
Estimated delivery fee Deliver to Argentina

Standard delivery 10 - 13 business days

$12.95

Premium delivery 3 - 6 business days

$40.95
(Includes tracking information)

Product Details

Publication date : Aug 23, 2024
Length: 346 pages
Edition : 2nd
Language : English
ISBN-13 : 9781835082256
Category :
Languages :
Tools :

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Frequently bought together


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Microsoft Power BI Cookbook
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The Definitive Guide to Power Query (M)
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Microsoft Power BI Performance Best Practices
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Total $ 159.97 Stars icon

Table of Contents

22 Chapters
Part 1: Architecture, Bottlenecks, and Performance Targets Chevron down icon Chevron up icon
Chapter 1: Setting Targets and Identifying Problem Areas Chevron down icon Chevron up icon
Chapter 2: Exploring Power BI Architecture and Configuration Chevron down icon Chevron up icon
Chapter 3: Learning the Tools for Performance Tuning Chevron down icon Chevron up icon
Part 2: Performance Analysis, Improvement, and Management Chevron down icon Chevron up icon
Chapter 4: Analyzing Logs and Metrics Chevron down icon Chevron up icon
Chapter 5: Optimization for Storage Modes Chevron down icon Chevron up icon
Chapter 6: Third-Party Utilities Chevron down icon Chevron up icon
Chapter 7: Performance Governance Framework Chevron down icon Chevron up icon
Part 3: Fetching, Transforming, and Visualizing Data Chevron down icon Chevron up icon
Chapter 8: Loading, Transforming, and Refreshing Data Chevron down icon Chevron up icon
Chapter 9: Report and Dashboard Design Chevron down icon Chevron up icon
Part 4: Data Models, Calculations, and Large Semantic Models Chevron down icon Chevron up icon
Chapter 10: Dimensional Modeling and Row Level Security Chevron down icon Chevron up icon
Chapter 11: Improving DAX Chevron down icon Chevron up icon
Chapter 12: High Scale Patterns Chevron down icon Chevron up icon
Part 5: Optimizing Capacities in Power BI Enterprises Chevron down icon Chevron up icon
Chapter 13: Working with Capacities Chevron down icon Chevron up icon
Chapter 14: Performance Needs for Fabric Artifacts Chevron down icon Chevron up icon
Chapter 15: Embedding in Web Apps Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
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Rusty Oct 26, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
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