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Mastering Tableau 2026

Mastering Tableau 2026 - Fifth Edition

By : Marleen Meier
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Mastering Tableau 2026

Mastering Tableau 2026

By: Marleen Meier

Overview of this book

Master the full capabilities of Tableau to design, build, and scale modern data visualization and business intelligence solutions. This book takes you beyond the basics to help you create advanced Tableau dashboards, perform efficient data preparation with Tableau Prep Builder, and deliver impactful analytics across your organization. Through practical examples, you’ll learn how to turn raw data into meaningful insights using proven Tableau data visualization techniques. As you progress, you’ll work with calculated fields and LOD expressions to build more flexible and powerful analyses. You’ll also explore performance optimization, deployment, and collaboration using Tableau Server, along with best practices for data governance and security in enterprise environments. In addition, the book covers AI-powered Tableau features that enhance analysis and accelerate insight discovery. You’ll apply advanced techniques such as time series analysis, geospatial analytics, and data modeling, and extend Tableau’s capabilities through Python and R integration for more sophisticated analytics workflows. By the end of this book, you’ll be equipped to build scalable, high-performance Tableau analytics solutions, enabling you to solve complex business problems with confidence.
Table of Contents (19 chapters)
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15
Chapter 15: The Intelligent Era of Tableau AI, Pulse, and Next
18
Index

Using the OData connector

The exercises in this chapter can be followed by downloading the workbook associated with this chapter at https://public.tableau.com/profile/marleen.meier. The following steps explain how datasets from the web can be loaded directly into Tableau by using an OData endpoint – in this case, provided by the city of Chicago:

  1. Navigate to https://data.cityofchicago.org/Public-Safety/Crimes-2001-to-Present/ijzp-q8t2 and select the More icon (indicated by an ellipsis, ), followed by the Access Data via OData button:

Figure 6.1: Chicago Data Portal

  1. Copy the OData Endpoint URL and open Tableau Desktop:
    Image 2

    Figure 6.2: OData

  2. In the Data Source pane, search for OData, and select the OData option:

    Figure 6.3: OData connector

  3. In the Server field, copy in the OData endpoint from the Chicago Crime website. Authentication is not necessary, so select Sign In to get started:

    Figure 6.4: Server name

  4. Start building your dashboard!

Now that we have the data connection...

CONTINUE READING
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Mastering Tableau 2026
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