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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
6
Part 2: Creating Insightful Calculations from your Data Model using DAX and Cube Functions
9
Part 3: Putting it all together with a Dashboard

Data Modeling with Power Pivot – Understanding How to Combine and Analyze Multiple Tables Using the Data Model

In the previous chapters, we went through a lot of concepts to help us understand data modeling and the steps involved in extracting, transforming, and loading data into the data model.

This chapter will now focus on what goes on in Power Pivot after we load our data into the data model. You will learn how to create relationships within the data model, understand the differences between fact and dimension tables, and learn about the roles of primary and foreign keys in the data model. The chapter will also explore the advantages of using relational databases to create a data model for the subsequent calculations in the book.

The following topics will be covered in this chapter:

  • Adding queries/tables to your data model
  • Creating relationships using primary and foreign keys
  • Adding columns to your data model
  • Understanding the different types of...

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