Book Image

Mastering Tableau 2021 - Third Edition

By : Marleen Meier, David Baldwin
Book Image

Mastering Tableau 2021 - Third Edition

By: Marleen Meier, David Baldwin

Overview of this book

Tableau is one of the leading business intelligence (BI) tools that can help you solve data analysis challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you’ll be able to perform data preparation and handling easily. You’ll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Next, you’ll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You’ll also learn about improving dashboard performance, connecting to Tableau Server and understanding data visualization with examples. Finally, you'll cover advanced use cases such as self-service analysis, time series analysis, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within it. By the end of this Tableau book, you’ll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain.
Table of Contents (18 chapters)
16
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17
Index

Relationships

Although this chapter will primarily focus on joins, blends, and manipulation of data structures, let's begin with an introduction to relationships: a new functionality since Tableau 2020.2, and one that the Tableau community has been waiting for a long time. It is the new default option in the data canvas; therefore, we will first look into relationships, which belong on the logical layer of the data model, before diving deeper into the join and union functionalities that operate on the physical layer.

To read all about the physical and logical layers of Tableau's data model, visit the Tableau help pages: https://help.tableau.com/current/online/en-us/datasource_datamodel.htm.

For now, you can think of the logical layer as more generic, where the specifics are dependent on each view, whereas the physical layer dives deeper, starting from the data source pane.

In the following screenshot, you can see the data source canvas, with two...