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.
This isn’t just another Tableau cookbook—it’s your blueprint for mastering the platform and driving meaningful data-powered transformation.

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Spis treści

Tableau Cookbook for Experienced Professionals. Over 60 advanced recipes for maximizing performance, interactivity, and platform potential eBook -- spis treści

• 1. Building Advanced and Efficient Tableau Data Models
• 2. Managing Content and Security at Scale in Tableau
• 3. Leveraging Tableau Cloud's Data Management and Advanced Management
• 4. Maximizing Workbook Performance
• 5. Mastering Advanced Calculations to Answer Complex Business Questions
• 6. Creating Interactive Dashboards
• 7. Interactivity and Zone Visibility: from Dashboards to Data Apps
• 8. Advanced Geospatial and Mapping Use Cases
• 9. Extending Tableau with Developer Tools and APIs
• 10. Core Techniques for Impactful Data Design