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Visual Analytics with Tableau

You're reading from Visual Analytics with Tableau A four-color journey through a complete Tableau visualization

Product type Paperback

Published in May 2017

Publisher Wiley

ISBN-13 9781119560203

Length 288 pages

Edition 1st Edition

Tools

Tableau

Concepts

Data Visualization

Author (1):

Alexander Loth

View More author details

Table of Contents (16) Chapters

1. Cover FREE CHAPTER

2. Foreword by Nate Vogel

3. Foreword by Sophie Sparkes

4. Introduction

5. Chapter 1: Introduction and Getting Started with Tableau

6. Chapter 2: Adding Data Sources in Tableau

7. Chapter 3: Creating Data Visualizations

8. Chapter 4: Aggregate Functions, Calculated Fields, and Parameters

9. Chapter 5: Table Calculations and Level of Detail Calculations

10. Chapter 6: Maps

11. Chapter 7: Advanced Analytics: Trends, Forecasts, Clusters, and other Statistical Tools

12. Chapter 8: Interactive Dashboards

13. Chapter 9: Sharing Insights with Colleagues and the World

14. Chapter 10: Data Preparation with Tableau Prep

15. Index

16. End User License Agreement

DATA EXTRACTS AND LIVE CONNECTIONS

For the majority of data connectors, Tableau offers you the choice between a live connection (a direct connection to the database) and a data extract (a snapshot of the data). As shown in Figure 2.10, it is easy to switch between the two.

Screenshot of radio buttons for switching between live connection and data extract. — Figure 2.10 Radio buttons for switching between live connection and data extract.

Live connections ensure that you are working with the latest data that is currently available in the database or file you are using. Extracting the data, on the other hand, means importing some or all of the data into Tableau's in‐memory Data Engine. This is true for Tableau Desktop as well as Tableau Server. The choice between the two ways to connect to your data depends on the specific use case, the availability of the database, and the quality of the network connection.

Live Connections

By directly connecting to a database, your visualizations will always be based on the latest available data stored there. All you have...

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Authors (1)

Alexander Loth

Alexander Loth

Alexander Loth is a data scientist with over 10 years' experience in the enterprise software space, focused primarily on digital transformation, big data, machine learning, and business analytics. Since 2015 he has been with Tableau Software as digital strategist in Frankfurt, Germany where he guides organizations to evolve their data-driven culture. Prior to Tableau, Alexander was a data scientist at CERN and worked as a consultant for Capgemini and in software engineering at SAP.

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