Book Image

Data Modeling with Microsoft Excel

By : Bernard Obeng Boateng
5 (1)
Book Image

Data Modeling with Microsoft Excel

5 (1)
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.
Table of Contents (16 chapters)
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

Understanding table relationships

In a data model, relationships refer to the connections between different entities or tables within a database. There are three types of relationships in a data model: one-to-many, many-to-many, and one-to-one. Let’s discuss each type in detail along with some examples.

One-to-many relationship

In a one-to-many relationship, one record in a table is associated with multiple records in another table. This is the most common type of relationship in a database.

For example, a customer may place many orders, but each order is associated with only one customer. In this case, the customer table is on the one side of the relationship, and the order table is on many sides. The relationship is established by creating a foreign key in the order table that refers to the primary key in the customer table.

Another example is the relationship between a department table and an employee table. A department may have many employees, but each employee...