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Data Modeling with Tableau

You're reading from  Data Modeling with Tableau

Product type Book
Published in Dec 2022
Publisher Packt
ISBN-13 9781803248028
Pages 356 pages
Edition 1st Edition
Languages
Author (1):
Kirk Munroe Kirk Munroe
Profile icon Kirk Munroe
Toc

Table of Contents (22) Chapters close

Preface 1. Part 1: Data Modeling on the Tableau Platform
2. Chapter 1: Introducing Data Modeling in Tableau 3. Chapter 2: Licensing Considerations and Types of Data Models 4. Part 2: Tableau Prep Builder for Data Modeling
5. Chapter 3: Data Preparation with Tableau Prep Builder 6. Chapter 4: Data Modeling Functions with Tableau Prep Builder 7. Chapter 5: Advanced Modeling Functions in Tableau Prep Builder 8. Chapter 6: Data Output from Tableau Prep Builder 9. Part 3: Tableau Desktop for Data Modeling
10. Chapter 7: Connecting to Data in Tableau Desktop 11. Chapter 8: Building Data Models Using Relationships 12. Chapter 9: Building Data Models at the Physical Level 13. Chapter 10: Sharing and Extending Tableau Data Models 14. Part 4: Data Modeling with Tableau Server and Online
15. Chapter 11: Securing Data 16. Chapter 12: Data Modeling Considerations for Ask Data and Explain Data 17. Chapter 13: Data Management with Tableau Prep Conductor 18. Chapter 14: Scheduling Extract Refreshes 19. Chapter 15: Data Modeling Strategies by Audience and Use Case 20. Index 21. Other Books You May Enjoy

Visual analytics through natural language search with Ask Data

Ask Data is a natural language search interface from Tableau Server and Cloud. It allows users to perform visual analysis without needing to have the technical skills that are associated with traditional business intelligence products. If a person can type out a business question in natural text, they can get an answer. This is true if the answer is in their data, of course!

Data modeling strategies are essential for a seamless experience with Ask Data.

First, Ask Data only works with published data sources. That is, data models that are embedded in workbooks are not available for Ask Data.

Second, at least one lens needs to be created on your published data source to use Ask Data. Lenses allow data modelers to further refine published data sources to hide fields, rename fields, add synonyms, and create view recommendations. All these options can be very valuable to the natural language question experience.

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