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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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Partition and direction of addressing

As discussed in Chapter 1, Reviewing the Basics, calculated fields can be categorized as either row-level, aggregate-level, or table-level. For row- and aggregate-level calculations, the underlying data source engine does most (if not all) of the computational work and Tableau merely visualizes the results. For table calculations, Tableau also relies on the underlying data source engine and the available RAM on your machine to execute computational tasks; however, after that work is completed and a dataset is returned, Tableau performs additional processing before rendering the results.

Let us look at the definition of table calculations, as follows:

A table calculation is a function performed on a cached dataset that has been generated as a result of a query from Tableau to the data source.

Let us consider a couple of points regarding the dataset in the cache mentioned in the preceding definition.

This cache is not...

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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