Microsoft Power BI Performance Best Practices: Learn practical techniques for building high-speed Power BI solutions
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Maximize the effectiveness of your Power BI solutions through performance optimization and drive superior business outcomes
Key FeaturesLearn how to build performant data models and apply row-level securityIdentify and fix performance issues in reports, DAX, and datasets using DAX Studio and VertiPaq AnalyzerImplement a formal process for performance management, from setting targets to monitoring and remediating issuesPurchase of the print or Kindle book includes a free PDF eBookBook 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.
What you will learnMaster setting realistic performance targets and proactively addressing performance challengesUnderstand the impact of architectural choices and configurations on performance optimizationDevelop streamlined Power BI reports and enhance data transformations for optimal efficiencyExplore best practices for data modeling, mastering DAX, and handling large datasets effectivelyGain insight into the intricate workings of Power BI Premium for enhanced performanceHarness the potential of Azure services for extreme scale data processingWho this book is 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.
Table of ContentsSetting Targets and Identifying Problem AreasExploring Power BI Architecture and ConfigurationLearning the Tools for Performance TuningAnalyzing Logs and MetricsOptimization for Storage ModesThird-Party UtilitiesPerformance Governance FrameworkLoading, Transforming, and Refreshing DataReport and Dashboard DesignDimensional Modeling and Row-level SecurityImproving DAXHigh-Scale PatternsWorking with CapacitiesPerformance Needs for Fabric ArtifactsEmbedding in Web Apps
Publisher : Packt Publishing; 2nd ed. edition (August 23, 2024)
Language : English
Paperback : 346 pages
ISBN-10 : 1835082254
ISBN-13 : 978-1835082256
Item Weight : 1.32 pounds
Dimensions : 0.73 x 7.5 x 9.25 inches
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Rusty –
A great resource for Power BI customers of all sizes
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, âShould I build an index in the source database?â âIs my DAX efficient enough?â âShould we use DirectQuery?â and âCan Power BI even handle this much data?âcan come at you furiously. More often than not, the answer is a frustrating âit dependsâ¦.âIn their book, LeBlanc and Merchant do a great job of demystifying what clients of all sizes might mean when they ask for âbetter performanceâ 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 arenât 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.
Paul Turley –
Excellent resource for performance troubleshooting & tuning
This book is thorough, targeted and very helpful. I’m impressed by both the simplicity and level of depth. The authors take a prescriptive approach to targeting performance problems and step-by-step troubleshooting.