Book Image

Mastering Tableau 2023 - Fourth Edition

By : Marleen Meier
Book Image

Mastering Tableau 2023 - Fourth Edition

By: Marleen Meier

Overview of this book

This edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added. Throughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. Later chapters will teach you all 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, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau. By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.
Table of Contents (19 chapters)
17
Other Books You May Enjoy
18
Index

Summary

We began this chapter by looking at Tableau Server settings, we learned that revision history features can provide a safety net against inadvertently overwriting files. We explored a section on the Tableau Server web authoring environment, which compared that environment with Tableau Desktop. This section’s main purpose was to establish a knowledge base for determining which personnel should have Tableau Desktop licenses and for whom the web authoring capabilities of Tableau Server should suffice.

Then we discussed user filters. User filters enable the Tableau author to ensure that users are only able to access data for which they have clearance. And finally, we looked at some handy features, such as alerts, subscriptions, commenting, and others.

In the next chapter, we will branch out from the Tableau world and will consider how to integrate it with R and Python. Knowledge of programming integration will help the Tableau author accomplish analytics tasks beyond...