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Tableau Cookbook for Experienced Professionals

Tableau Cookbook for Experienced Professionals

By : Pablo Sáenz de Tejada, Daria Kirilenko
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Tableau Cookbook for Experienced Professionals

Tableau Cookbook for Experienced Professionals

By: Pablo Sáenz de Tejada, Daria Kirilenko

Overview of this book

In today’s data-driven business world, advanced analytics set organizations apart. Basic visualizations no longer suffice for Tableau developers tackling complex data challenges. Written by Tableau experts who've trained Fortune 500 companies and led global analytics initiatives, this cookbook delivers battle-tested techniques with the perfect blend of technical depth and practical application. You’ll master advanced techniques such as geospatial analysis, data modeling for optimized workflows, and enterprise-scale content management. This book shows you how to leverage Tableau cloud’s Data Management capabilities to centralize data sources and ensure data quality for consistent analytics. You’ll also explore advanced management features such as the Content Migration Tool in Tableau 2025.1 and beyond. Bridging the gap between fundamentals and cutting-edge practices, this book extends Tableau’s capabilities with APIs, custom LOD expressions, virtual connections, data apps, and TabPy. You’ll gain the skills to solve complex business problems, create high-impact dashboards, and seamlessly integrate Tableau into your data strategy, all while adhering to security and governance best practices. *Email sign-up and proof of purchase required
Table of Contents (17 chapters)
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Part 1: Scaling Tableau Capabilities – Data, Security, and Cloud Excellence
5
Part 2: Optimizing Performance and Mastering Complex Calculations
8
Part 3: Building Interactive Dashboards and Data Apps
11
Part 4: Exploring Geospatial Solutions, Developer Tools, and Design Best Practices

Building Advanced and Efficient Tableau Data Models

It might sound obvious, but without data, there is not much we might be able to analyze and visualize in Tableau. To start using data in Tableau, first, we need to create a data source.

Each data source has a data model. A data model is a diagram needed before starting an analysis to allow Tableau to understand what data we want to use, any specific adjustments we might want to make to the fields, such as renaming or changing the data type of any of them, and, if we want to use more than one table at the same time, how the different tables are related in order to query the data correctly and get meaningful results.

It’s common not to spend too much time on the data modeling and data source creation phase and jump to the analysis and visualization as quickly as possible. But creating a good data model is key, especially if we have different tables that we need to combine and use together.

Additionally, it can save us...

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Tableau Cookbook for Experienced Professionals
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