Book Image

Getting Started with Tableau 2018.x

By : Tristan Guillevin
Book Image

Getting Started with Tableau 2018.x

By: Tristan Guillevin

Overview of this book

Tableau is one of the leading business intelligence tools used worldwide, in organizations of every scale. In its latest release, Tableau 2018 promises richer and more useful features related to visual analytics, reporting, dashboarding, and a host of other data visualization aspects. Getting Started with Tableau 2018.x will get you up and running with these features. The book starts with all the new functionalities of the different Tableau 2018 versions, along with concrete examples of how to use them. However, if you're new to Tableau, don't worry! The rest of the book will guide you through each major aspect of Tableau with examples. You'll learn how to connect to data, build a data source, visualize your data, build a dashboard, and share it online. In the final chapters, you'll also learn advanced techniques such as creating a cross-database join, data blending, and more. By the end of the book, you will have a firm understanding of how to effectively use Tableau to create quick, cost-effective, and business-efficient business intelligence solutions.
Table of Contents (21 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Free Chapter
1
Catching Up with Tableau 2018
Index

Chapter 12. Advanced Data Connections

In a Workbook, you can add as many data sources as you want. In a Worksheet, you can see which Data Source is used thanks to the tick mark (✓) next to its icon, as you can see in the following screenshot:

You can create different Worksheets based on different data sources and assemble them in a Dashboard. But what if you need more than that? What if you want to create a visualization using two different data sources or create a unique data source based on a different type of connection? You can do all of that, too.

In this chapter about advanced data connections, we'll see how to work with multiple datasets as well as some other new features for unions. The three sections of this chapter focus on the following:

  • Cross-database Join
  • Data-blending
  • Wildcard union

The different examples require a specific dataset or file to be reproduced.

Let's start this chapter with a way of combining multiple datasets in one Data Source.