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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
Author (1):
Marleen Meier Marleen Meier
Profile icon Marleen Meier

Table of Contents (19) Chapters

Preface Reviewing the Basics Getting Your Data Ready Using Tableau Prep Builder Learning about Joins, Blends, and Data Structures Introducing Table Calculations Utilizing OData, Data Densification, Big Data, and Google BigQuery Practicing Level of Detail Calculations Going Beyond the Basics Working with Maps Presenting with Tableau Designing Dashboards and Best Practices for Visualizations Leveraging Advanced Analytics Improving Performance Exploring Tableau Server and Tableau Cloud Integrating Programming Languages Developing Data Governance Practices Other Books You May Enjoy
Index

Blends

Relationships make data blending a little less needed and it can be seen as legacy functionality. But for the sake of completeness and for older Tableau versions (below 2020.2), let’s consider a summary of data blending in the following sections. In a nutshell, data blending allows you to merge multiple disparate data sources into a single view. Understanding the following four points will give you a grasp of the main points regarding data blending:

  • Data blending is typically used to merge data from multiple data sources. Although as of Tableau 10, joins are possible between multiple data sources, there are still cases when data blending is the only feasible option to merge data from two or more sources. In the following sections, we will see a practical example that demonstrates such a case.
  • Data blending requires a shared dimension. A date dimension is often a viable candidate for blending multiple data sources.
  • Data blending aggregates and then...
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