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Mastering Tableau 2023 - Fourth Edition

You're reading from Mastering Tableau 2023 - Fourth Edition

Product type Book

Published in Aug 2023

Publisher Packt

ISBN-13 9781803233765

Pages 684 pages

Edition 4th Edition

Languages

Concepts

Business Intelligence

Author (1):

Marleen Meier

Table of Contents (19) Chapters

Preface

1. Reviewing the Basics

2. Getting Your Data Ready

3. Using Tableau Prep Builder

4. Learning about Joins, Blends, and Data Structures

5. Introducing Table Calculations

6. Utilizing OData, Data Densification, Big Data, and Google BigQuery

7. Practicing Level of Detail Calculations

8. Going Beyond the Basics

9. Working with Maps

10. Presenting with Tableau

11. Designing Dashboards and Best Practices for Visualizations

12. Leveraging Advanced Analytics

13. Improving Performance

14. Exploring Tableau Server and Tableau Cloud

15. Integrating Programming Languages

16. Developing Data Governance Practices

17. Other Books You May Enjoy

18. Index

Publishing a data source to Tableau Server

So, you purchased Tableau Desktop, became a pro dashboard developer, and now you want to share your work with your colleagues. Do they all need a Tableau Desktop license and installation to see your visualizations? Luckily, the answer is: NO! The best way to share Tableau dashboards is on Tableau Server. This way, your colleagues only need a Tableau Server viewing license, which is much cheaper than the developer license, and they can fully interact with the dashboard you built and uploaded to Server. A detailed description of the different roles in Tableau Server license models can be found here: https://help.tableau.com/current/server/en-us/license_manage.htm.

This chapter assumes the reader has access to Tableau Server with sufficient privileges to publish data sources and edit in the web authoring environment. If you do not have access to Tableau Server but would like to work through the exercises in this chapter, consider...

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Authors (1)

Marleen Meier

Marleen Meier is an accomplished analyst and author with a passion for statistics and data. By using traditional methodologies and approaches such as Machine Learning and AI, Marleen is dedicated to driving meaningful insights. Currently working as the APAC Data CoE Lead for ABN AMRO Clearing, Marleen is at the forefront of innovation and implementing data-driven strategies in a global financial environment. She has lived and worked in multiple countries, including Germany, the Netherlands, the USA, and Singapore, allowing her to bring a diverse and global perspective to her work. Through her writing and speaking engagements, she aims to empower individuals and organizations to unlock the full potential of their data assets.

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