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
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18
Index

Improving Performance

Once people are familiar with Tableau’s functionality, they soon run into another type of issue: performance. You might all have experienced staring at the screen while reading Loading Data or Executing Query. But don’t worry, we’ve got you! If designed accordingly, Tableau dashboards can perform very well, even with large amounts of data.

This chapter will address various aspects of performance with the intent of empowering you with techniques to create workbooks that load quickly and respond snappily to end user interaction.

In this chapter, we will discuss the following topics:

  • Understanding the performance-recording dashboard
  • Hardware and on-the-fly techniques
  • Connecting to data sources
  • Working with extracts
  • Using filters wisely
  • Efficient calculations
  • Other ways to improve performance

As you can see, there are many topics we have to cover with regard to performance improvement...