May 1, 2024
Updated June 26, 2025
17 minute read
Calculated Columns: Transforming Data into Insights
Calculated columns are a fundamental concept in data handling and analysis, representing dynamically derived pieces of information that add depth and context to raw data. At a high level, a calculated column is a new column that you add to a table, where the values in that column are the result of a calculation or a formula based on other data within the same table, or sometimes from related tables. Think of them as smart columns that automatically compute their content, providing new perspectives on your existing information without altering the original data source directly.
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Reading list
We've selected 23 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
Calculated Columns.
This newer edition of the highly regarded Definitive Guide, updated to include the latest developments in Microsoft's data platform, including Fabric. It remains the most comprehensive resource for a deep understanding of DAX and its application in modern BI environments.
Offers a collection of reusable DAX solutions to common business problems. It's an excellent companion to the Definitive Guide, providing practical examples and proven techniques. It's highly valuable for deepening understanding and as a reference tool for real-world scenarios.
While focused on data modeling, this book is highly relevant as effective data modeling is foundational to writing good DAX and creating calculated columns. It's essential for understanding the context in which calculated columns operate and for deepening overall BI skills.
Delves into more complex DAX concepts and real-world business scenarios. It's suitable for those who have a working knowledge of DAX and want to deepen their understanding and tackle advanced problems. It's a valuable resource for experienced users.
Provides a comprehensive guide to creating and using calculated columns in Microsoft Excel. It covers a wide range of topics, from basic formulas to advanced techniques.
Provides a comprehensive guide to creating and using calculated columns in Oracle. It covers a wide range of topics, from basic formulas to advanced techniques.
Highly recommended starting point for beginners in Power BI and DAX. It focuses on practical application and helps users understand how to leverage DAX for better Power BI reports. It's a great resource for gaining a broad understanding of DAX in a Power BI context.
Offers a more advanced perspective on DAX within Power BI, Power Pivot, and SSAS Tabular. It explores complex scenarios and techniques, making it suitable for users looking to deepen their understanding and tackle challenging problems.
Aimed at users with a SQL background, this book provides a good introduction to DAX within Power BI. It helps bridge the gap for those familiar with database concepts but new to DAX's unique evaluation context. Useful for gaining a broad understanding and prerequisite knowledge.
Offers a practical approach to learning DAX, focusing on hands-on examples and real-world scenarios. It's a good resource for beginners and intermediate users looking to build their DAX writing skills. It helps solidify understanding through practice.
Provides a comprehensive guide to creating and using calculated columns in MongoDB. It covers a wide range of topics, from basic formulas to advanced techniques.
Provides a comprehensive guide to creating and using calculated columns in MySQL. It covers a wide range of topics, from basic formulas to advanced techniques.
This cookbook provides practical DAX recipes for solving specific business problems and creating common KPIs. It's a useful reference tool for finding ready-to-use solutions and understanding how DAX can be applied in various scenarios.
Focuses specifically on using DAX within Power BI, providing practical examples and explanations. It's a good resource for users who primarily work with Power BI and want to strengthen their DAX skills for that platform.
Teaches you how to use Power Query to transform and clean data. It includes a chapter on creating calculated columns.
Classic resource for Excel users venturing into Power Pivot and Power BI. It introduces DAX in a friendly and accessible manner, making it suitable for gaining a broad understanding, especially for those with a strong Excel background.
Focuses on optimizing the performance of Power BI solutions, which often involves optimizing DAX calculations and data models. It's a valuable resource for users who need to ensure their calculated columns are efficient and performant.
Provides a comprehensive guide to Power BI, with significant coverage of data modeling and DAX. It's suitable for users who want a single resource that covers the breadth of Power BI capabilities, including the role of calculated columns.
Aimed at Excel users transitioning to Power BI, this book introduces DAX in a way that is familiar to those with spreadsheet formula experience. It helps provide prerequisite knowledge and a gentle introduction to calculated columns.
While covering the broader Power BI ecosystem, this book includes significant sections on DAX and data modeling. It's a good reference for understanding how Calculated Columns fit into the overall Power BI development process. More of a comprehensive reference than a dedicated DAX deep-dive.
Offers a broad overview of Power BI, including data modeling and DAX. While not solely focused on Calculated Columns, it provides valuable context and demonstrates how DAX is used in practical Power BI development. Useful for understanding the application of DAX within Power BI.
Covers the broader architecture of Power BI solutions, including how DAX and data models fit into a larger deployment. It's more focused on the professional and architectural aspects but provides valuable context for understanding the importance of well-designed calculated columns.
While an older publication focused on an earlier version of SSAS Tabular, this book classic that provides foundational knowledge of the tabular model and the role of DAX within it. More valuable as historical context than a current reference, but highlights the origins of calculated columns in this environment.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/38m9jq/calculated
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