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Data Modeling with Microsoft Excel

Data Modeling with Microsoft Excel

By : Bernard Obeng Boateng
4.6 (8)
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Data Modeling with Microsoft Excel

Data Modeling with Microsoft Excel

4.6 (8)
By: Bernard Obeng Boateng

Overview of this book

Microsoft Excel's BI solutions have evolved, offering users more flexibility and control over analyzing data directly in Excel. Features like PivotTables, Data Model, Power Query, and Power Pivot empower Excel users to efficiently get, transform, model, aggregate, and visualize data. Data Modeling with Microsoft Excel offers a practical way to demystify the use and application of these tools using real-world examples and simple illustrations. This book will introduce you to the world of data modeling in Excel, as well as definitions and best practices in data structuring for both normalized and denormalized data. The next set of chapters will take you through the useful features of Data Model and Power Pivot, helping you get to grips with the types of schemas (snowflake and star) and create relationships within multiple tables. You’ll also understand how to create powerful and flexible measures using DAX and Cube functions. By the end of this book, you’ll be able to apply the acquired knowledge in real-world scenarios and build an interactive dashboard that will help you make important decisions. Note: To access the supplemental material, subscribers should purchase a print copy of the book. The ebook can be accessed through the QR code or link provided inside the Print book. Proof of purchase is mandatory to access the ebook.
Table of Contents (16 chapters)
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1
Part 1: Overview and Introduction to Data Modeling in Microsoft Excel
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Part 2: Creating Insightful Calculations from your Data Model using DAX and Cube Functions
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Part 3: Putting it all together with a Dashboard

Part 1: Overview and Introduction to Data Modeling in Microsoft Excel

This part is structured to guide both beginners and intermediate users through the foundational concepts and advanced applications of data modeling in Excel. Here, we delve into what data modeling is, why it is essential in today’s data-driven environment, and how Excel can be a powerful tool in this realm. You’ll also learn how to clean and transform your data using Power Query, ensuring it is in the best possible shape for modeling.

This section has the following chapters:

  • Chapter 1, Getting Started with Data Modeling
  • Chapter 2, Data Structuring for Power Pivot
  • Chapter 3, Preparing your Data for the Data Model
  • Chapter 4, Data Modeling with Power Pivot

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