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

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Book Details
Language
English
Publishers
Packt Publishing; 2nd edition (23 Aug. 2024)
Weight
0.59 KG
Publication Date
23/08/2024
ISBN-10
1835082254
Pages
346 pages
ISBN-13
9781835082256
Dimensions
1.85 x 19.05 x 23.5 cm
SKU
9781835082256
Author Name
Thomas LeBlanc (Author)
Thomas LeBlanc (Microsoft Data Platform MVP - Power BI) is a data warehouse and business intelligence architect in Baton Rouge, LA. He has been a software developer, database administrator, ETL developer, and trainer before moving into data warehousing and business intelligence. Since 2010, he has concentration has been with the Microsoft Business Intelligence Stack on-premises and in Azure. Speaking at conferences like PASS Summit, Live360/VSLive and SQLSatruday(s) has been a pleasure and honor. In Baton Rouge, he is a volunteer with the Baton Rouge User Groups and SQLSaturday Baton Rouge.Read more about this authorRead less about this author
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Maximize the effectiveness of your Power BI solutions through performance optimization and drive superior business outcomesKey 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 DescriptionIn 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 forIf 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. .

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