May 1, 2024
Updated June 2, 2025
22 minute read
Harnessing the Power of Data: An Introduction to Power Pivot
Power Pivot is a data modeling technology integrated into Microsoft Excel. It empowers users to import, manipulate, and analyze large datasets from various sources, build sophisticated data models, and perform complex calculations, all within the familiar Excel environment. Think of it as a significant upgrade to Excel's traditional data analysis capabilities, allowing you to work with significantly more data and perform more advanced analytics than previously possible with standard Excel features alone.
Working with Power Pivot can be engaging for several reasons. Firstly, it unlocks the ability to handle and analyze millions of rows of data, far exceeding Excel's typical limitations. Secondly, it enables the creation of intricate relationships between different data tables, providing a holistic view of your information. Finally, using Data Analysis Expressions (DAX), Power Pivot's formula language, allows for the creation of powerful custom calculations and business metrics, offering deeper insights from your data.
Introduction to Power Pivot
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Reading list
We've selected 25 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Power Pivot.
While the title mentions Power BI, the data modeling principles and techniques discussed are directly applicable to Power Pivot. is for users who want to achieve a deep understanding of how to design and optimize data models for performance and usability in the VertiPaq engine used by Power Pivot and Power BI.
Is specifically written for Excel users transitioning to Power Pivot and Power BI. It provides a step-by-step introduction to Power Pivot, Power Query, and DAX, making it ideal for gaining a broad understanding. The concepts are explained in a simple and accessible manner, tailored to those with an Excel background. It serves as a strong foundational text.
Is for advanced DAX users who need to optimize the performance of their calculations and data models. It delves into the intricacies of the VertiPaq engine and provides techniques for identifying and resolving performance bottlenecks. It's highly specialized and intended for those with a strong DAX foundation.
This book, by leading experts, focuses on data analysis using Power BI and Power Pivot. It emphasizes the importance of the data model and how to write DAX formulas to derive meaningful insights. It's valuable for users who want to leverage Power Pivot for in-depth data analysis and reporting.
Delves into more advanced aspects of Power BI, including complex data modeling and DAX. It's suitable for users who have a solid foundation in Power Pivot and DAX and want to deepen their expertise in building sophisticated BI solutions.
Collection of reusable DAX solutions to common business problems. It's not a book for learning DAX fundamentals but rather a reference for applying DAX in practical scenarios. It's highly valuable for users who already have a good understanding of DAX and want to learn proven techniques and best practices.
Focused specifically on DAX, the formula language used in Power Pivot and Power BI, this book is excellent for building a solid understanding of how to perform calculations and create measures. It includes practical examples and exercises to help solidify learning. While not solely about Power Pivot, a strong grasp of DAX is crucial for advanced Power Pivot usage.
Combines Power Query and Power Pivot, providing a comprehensive approach to data preparation and analysis. It is suitable for those who want to master both tools for efficient data management.
This comprehensive guide by Excel expert Bill Jelen covers all aspects of Power Pivot. It is suitable for both beginners and experienced users who want to deepen their understanding of the tool.
Takes a practical approach to Power BI, covering Power Query, Power Pivot, and DAX with real-world examples. It's a good resource for users who want to learn how to apply these tools to solve business problems and gain hands-on experience.
While focused on Power Query, this book is highly relevant as Power Query is the primary tool for getting and transforming data for Power Pivot models. A strong understanding of Power Query is essential for building effective data models in Power Pivot. helps users master data preparation, a critical prerequisite for Power Pivot.
Focuses exclusively on data modeling in Power Pivot. It provides a deep dive into data modeling techniques and best practices, making it suitable for those who want to build robust and efficient data models.
This highly recommended book for learning the M language used in Power Query. Since Power Query is integral to getting data into Power Pivot, mastering M is very beneficial for Power Pivot users who need to perform complex data transformations.
Authored by renowned Power BI and DAX experts, this book provides a more technical approach to data modeling with Power Pivot. It's suitable for users who have some initial exposure to Power Pivot and want to deepen their understanding of data modeling principles and techniques within the Power Pivot environment. It bridges the gap between basic usage and more complex scenarios.
Highlights how Power BI capabilities, including Power Pivot and DAX, can be leveraged within Excel. It's a good resource for Excel users who want to enhance their data analysis capabilities without fully transitioning to Power BI Desktop.
Another excellent resource for learning Power Query, this book covers a wide range of data transformation scenarios. It's a valuable reference for Power Pivot users who need to clean and shape data from various sources before loading it into their data models.
Another excellent resource for mastering Power Query. is valuable for Power Pivot users who need to perform advanced data extraction, transformation, and loading (ETL) tasks before building their data models.
This advanced guide covers advanced topics in Power Pivot and Power BI, including data modeling, DAX calculations, and performance optimization. It is recommended for experienced users who want to master these tools.
Is aimed at experienced Power Pivot users who want to take their skills to the next level. It covers advanced techniques and best practices for optimizing performance and building complex data models.
As part of the 'For Dummies' series, this book offers a beginner-friendly introduction to both Power Pivot and Power Query. It uses step-by-step instructions and screenshots to guide users through the basics of importing, transforming, and modeling data. This good starting point for those with no prior experience with these tools.
An earlier book specifically focused on DAX for Power Pivot from a well-known author in the Power Pivot community. While some content may be superseded by newer editions or the 'Definitive Guide', it provides a good introduction to DAX concepts from an Excel user's perspective.
Explores the use of Power Pivot in a business intelligence context, including integration with SharePoint for sharing and collaboration. It provides a broader perspective on how Power Pivot can be used within an organization. While an older publication, the core BI concepts remain relevant.
While a broader book on data analysis in Excel, it includes sections on Power Pivot and Power Query, providing a good overview of how these tools fit into the overall Excel data analysis workflow. It can be a good starting point for users familiar with Excel who want to explore its advanced data analysis capabilities.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/359edr/power
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