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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

Einstein Discovery

We discussed Tableau exchange in the previous section; however, one other similarly beyond-basics feature deserves some attention too. But before we continue, a bit of backstory. In August 2019 Tableau was acquired by Salesforce. Probably most of you know Salesforce and even work with it, but for all other readers, Salesforce is a cloud-native Customer Relationship Management (CRM) tool. Next to that, the company also developed an analytics portion, which allows Salesforce users to analyze data from a CRM system and other data sources.

Connecting Salesforce to Tableau was possible long before the acquisition, but what’s new in Tableau 2021.1 is that the analytics piece of Salesforce is available for integration into Tableau, as an extension and in calculated fields. The Tableau community is very excited about this feature because of the built-in machine learning capability and real-time prediction power. This piece of software is called Einstein Discovery...

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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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