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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

Exporting data

Last, but not least, we may want to export our data. We have seen before that a right-click on a symbol in the flow pane offers the possibility to preview the data in Tableau Desktop:

If you want a flow to run according to a schedule or save it to a location, it’s best to use Add | Output.
After you do this, the following screen will appear:

Figure 3.54: Save to file

The user now has the option to save the data to a file, and also to save it in Hyper file format as .hyper, as .xlsx (new in Tableau 2021.1), or as a .csv file.
Another option is to publish the newly generated data source directly to Tableau Server and make it available to other users. For this option, select Publish as a data source instead of Save to File from the dropdown.
A third option to save Prep output has been added to Tableau 2020.3: writing the resulting data to an external database. If you want to do so, select the Database table option...

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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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