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Microsoft Power BI Performance Best Practices - Second Edition - 2nd Edition by Thomas Leblanc & Bhavik Merchant (Paperback)
About this item
Highlights
- Maximize the effectiveness of your Power BI solutions through performance optimization and drive superior business outcomesKey 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 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 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.
- Author(s): Thomas Leblanc & Bhavik Merchant
- 346 Pages
- Computers + Internet, Enterprise Applications
Description
About the Book
Overcome common challenges in data management, visualization, and security with this updated edition of Microsoft Power BI Performance Best Practices.
Book Synopsis
Maximize the effectiveness of your Power BI solutions through performance optimization and drive superior business outcomes
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 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
Book 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 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
Who 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 Contents
- Setting Targets and Identifying Problem Areas
- Exploring Power BI Architecture and Configuration
- Learning the Tools for Performance Tuning
- Analyzing Logs and Metrics
- Optimization for Storage Modes
- Third-Party Utilities
- Performance Governance Framework
- Loading, Transforming, and Refreshing Data
- Report and Dashboard Design
- Dimensional Modeling and Row-level Security
- Improving DAX
- High-Scale Patterns
- Working with Capacities
- Performance Needs for Fabric Artifacts
- Embedding in Web Apps