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Mastering Tableau

Mastering Tableau

By : Jen Stirrup, Baldwin
4.4 (10)
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Mastering Tableau

Mastering Tableau

4.4 (10)
By: Jen Stirrup, Baldwin

Overview of this book

Tableau has emerged as one of the most popular Business Intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. This book will empower you to become a master in Tableau by exploiting the many new features introduced in Tableau 10.0. You will embark on this exciting journey by getting to know the valuable methods of utilizing advanced calculations to solve complex problems. These techniques include creative use of different types of calculations such as row-level, aggregate-level, and more. You will discover how almost any data visualization challenge can be met in Tableau by getting a proper understanding of the tool’s inner workings and creatively exploring possibilities. You’ll be armed with an arsenal of advanced chart types and techniques to enable you to efficiently and engagingly present information to a variety of audiences through the use of clear, efficient, and engaging dashboards. Explanations and examples of efficient and inefficient visualization techniques, well-designed and poorly designed dashboards, and compromise options when Tableau consumers will not embrace data visualization will build on your understanding of Tableau and how to use it efficiently. By the end of the book, you will be equipped with all the information you need to create effective dashboards and data visualization solutions using Tableau.
Table of Contents (14 chapters)
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Intelligent extracts

This section will discuss what a Tableau Data Extract (TDE) is as well as how to efficiently construct an extract.

Understanding the Tableau Data Extract

A Tableau Data Extract (TDE) is a proprietary compressed data source created by Tableau Desktop. A TDE can be stored locally and accessed by Tableau to render visualizations. Consider the following points; they make a .tde file an excellent choice for improved performance:

  • A TDE can be quickly generated at an aggregate level:
    • See the walkthrough of the Extract Data dialog box.

  • A TDE is a columnar store:
    • Relational databases typically store data using a Row store methodology. A columnar store records as sequences of columns.
    • In the following example, note that Row store is excellent for returning individual rows, whereas Column store is much better for returning aggregated data:

Table

Instrument

Store

Price

Row 1

Selmer Trumpet

North

$3500

Row 2

Conn French Horn

East

$4500

Row 3

Getzen Trombone...

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