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

Understanding Tableau's data handling engine, hyper

Since Tableau Desktop 10.5 is on the market, you must have heard the expression Hyper. You haven't? Well, continue reading!

Tableau's data handling engine is usually not well understood by even advanced developers, because it's not an overt part of day-to-day activities; however, if you want to truly grasp how to ready data for Tableau, this understanding is indispensable. In this section, we will explore Tableau's data handling engine, and how it enables structured yet organic data mining processes in the enterprise. With Tableau 10.5, we can now make use of Hyper, a high-performing database, allowing us to query faster than ever before.

Originally, Hyper was a research project at the University of Munich in 2008. In 2016, Tableau acquired Hyper, which is now the dedicated data engine group of Tableau...