Book Image

Mastering Tableau 2019.1 - Second Edition

By : Marleen Meier, David Baldwin
Book Image

Mastering Tableau 2019.1 - Second Edition

By: Marleen Meier, David Baldwin

Overview of this book

Tableau is one of the leading business intelligence (BI) tools used to solve BI and analytics challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. This book is also the second edition of the popular Mastering Tableau series, with new features, examples, and updated code. The book covers essential Tableau concepts and its advanced functionalities. Using Tableau Hyper and Tableau Prep, you’ll be able to handle and prepare data easily. You’ll gear up to perform complex joins, spatial joins, union, and data blending tasks using practical examples. Following this, you’ll learn how to perform data densification to make displaying granular data easier. Next, you’ll explore expert-level examples to help you with advanced calculations, mapping, and visual design using various Tableau extensions. With the help of examples, you’ll also learn about improving dashboard performance, connecting Tableau Server, and understanding data visualizations. In the final chapters, you’ll cover advanced use cases such as Self-Service Analytics, Time Series Analytics, and Geo-Spatial Analytics, and learn to connect Tableau to R, Python, and MATLAB. By the end of this book, you’ll have mastered the advanced offerings of Tableau and be able to tackle common and not-so-common challenges faced in the BI domain.
Table of Contents (20 chapters)
Free Chapter
1
Section 1: Tableau Concepts, Basics
9
Section 2: Advanced Calculations, Mapping, Visualizations
16
Section 3: Connecting Tableau to R, Python, and Matlab

Single Data Source > Joining > Blending

One of the beauties of Tableau is the ease with which one can connect to many different data sources in various ways. As mentioned earlier in this book, there are 70 connectors defined in Tableau 2018.3 for interfacing with a variety of data sources. Furthermore, this flexibility extends beyond simply connecting to single tables or files. Previous versions of Tableau accommodated joining within data sources and data blending disparate data sources. Since Tableau 10, it can even accommodate cross-joining data sources, and with Tableau 2019.1 you will be able to join published datasources on Tableau Server.

Although Tableau makes it easy to connect to various data sources, it should be stressed that Tableau is not an Extract, Transform, and Load tool. If complex joins and complex data blending are required to generate useful results...