Tableau is unlike most other BI platforms that have a single data modeling tool and enterprise data model (for example, LookML from Google’s Looker). That doesn’t mean Tableau doesn’t have enterprise data governance; it is both robust and highly flexible. This book will help you effectively use Tableau governance models to build a data-driven organization.
Data Modeling with Tableau is an extensive guide, complete with step-by-step explanations of essential concepts, practical examples, and hands-on exercises. As you progress through the chapters, you’ll learn the role that Tableau Prep Builder and Tableau Desktop each play in data modeling. You’ll also explore the components of Tableau Server and Tableau Cloud that make data modeling more robust, secure, and performant. Moreover, by extending data models for Ask and Explain Data, you’ll gain the knowledge required to extend analytics to more people in their organizations, leading to better data-driven decisions. Finally, this book will guide you through the entire Tableau stack and the techniques required to build the right level of governance into Tableau data models for the correct use cases.
By the end of this Tableau book, you’ll have a firm understanding of how to leverage data modeling in Tableau to benefit your organization.

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Spis treści

Data Modeling with Tableau. A practical guide to building data models using Tableau Prep and Tableau Desktop eBook -- spis treści

• 1. Introducing Data Modeling in Tableau
• 2. Licensing Considerations and Types of Data Models
• 3. Data Preparation with Tableau Prep Builder
• 4. Data Modeling Functions with Tableau Prep Builder
• 5. Advanced Modeling Functions in Tableau Prep Builder
• 6. Data Output from Tableau Prep Builder
• 7. Connecting to Data in Tableau Desktop
• 8. Building Data Models Using Relationships
• 9. Building Data Models at the Physical Level
• 10. Sharing and Extending Tableau Data Models
• 11. Securing Data
• 12. Data Modeling Considerations for Ask Data and Explain Data
• 13. Data Management with Tableau Prep Conductor
• 14. Scheduling Extract Refreshes
• 15. Data Modeling Strategies by Audience and Use Case