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  • Book Overview & Buying Getting Started with Tableau 2019.2
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Getting Started with Tableau 2019.2

Getting Started with Tableau 2019.2 - Second Edition

By : Tristan Guillevin
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Getting Started with Tableau 2019.2

Getting Started with Tableau 2019.2

5 (2)
By: Tristan Guillevin

Overview of this book

Tableau is one of the leading data visualization tools and is regularly updated with new functionalities and features. The latest release, Tableau 2019.2, promises new and advanced features related to visual analytics, reporting, dashboarding, and a host of other data visualization aspects. Getting Started with Tableau 2019.2 will get you up to speed with these additional functionalities. The book starts by highlighting the new functionalities of Tableau 2019.2, providing concrete examples of how to use them. However, if you're new to Tableau, you won't have to worry as the book also covers the major aspects of Tableau with relevant examples. You'll learn how to connect to data, build a data source, visualize your data, build a dashboard, and even share data online. In the concluding chapters, you'll delve into advanced techniques such as creating a cross-database join and data blending. By the end of this book, you will be able to use Tableau effectively to create quick, cost-effective, and business-efficient Business Intelligence (BI) solutions.
Table of Contents (16 chapters)
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15
Index

Chapter 11. 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 shown 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 by learning how to combine multiple datasets in one data source.

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