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You're reading from  Mastering Tableau 2023 - Fourth Edition

Product typeBook
Published inAug 2023
PublisherPackt
ISBN-139781803233765
Edition4th Edition
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Author (1)
Marleen Meier
Marleen Meier
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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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Relationships

Although this chapter will primarily focus on joins, blends, and the manipulation of data structures, let’s begin with an introduction to relationships: a new functionality available since Tableau 2020.2, and one that the Tableau community has been waiting a long time for. It is the new default option in the data canvas; therefore, we will first investigate relationships, which belong to the logical layer of the data model, before diving deeper into the join and union functionalities that operate on the physical layer.

To read all about the physical and logical layers of Tableau’s data model, visit the Tableau help pages: https://help.tableau.com/current/online/en-us/datasource_datamodel.htm.

For now, you can think of the logical layer as being able to count smarter. Imagine a customer table with unique customer names and an order table with hundreds of recorded orders. In a logical layer, a customer name with multiple orders (thus multiple...

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Mastering Tableau 2023 - Fourth Edition
Published in: Aug 2023Publisher: PacktISBN-13: 9781803233765

Author (1)

author image
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.
Read more about Marleen Meier