0%

Save time analyzing volumes of data using best practices to extract, model, and create insights from your data

Key Features

  • Master best practices in data modeling with Tableau Prep Builder and Tableau Desktop
  • Apply Tableau Server and Cloud to create and extend data models
  • Build organizational data models based on data and content governance best practices

Book Description

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 very flexible. This book will help you build a data-driven organization with the proper use of Tableau governance models.

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 will 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 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 get into the entire Tableau stack and get the techniques required to build the right level of governance into Tableau data models for the right 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.

What you will learn

  • Showcase Tableau published data sources and embedded connections
  • Apply Ask Data in data cataloging and natural language query
  • Exhibit features of Tableau Prep Builder with hands-on exercises
  • Model data with Tableau Desktop through examples
  • Formulate a governed data strategy using Tableau Server and Cloud
  • Optimize data models for Ask and Explain Data

Who this book is for

This book is for data analysts and business analysts who are looking to expand their data skills, offering a broad foundation to build better data models in Tableau for easier analysis and better query performance.

It will also benefit individuals responsible for making trusted and secure data available to their organization through Tableau, such as data stewards and others who work to take enterprise data and make it more accessible to business analysts.

Table of Contents

  1. Data Modeling with Tableau
  2. Contributors
  3. About the author
  4. About the reviewers
  5. Preface
  6. Part 1: Data Modeling on the Tableau Platform
  7. Chapter 1: Introducing Data Modeling in Tableau
  8. Chapter 2: Licensing Considerations and Types of Data Models
  9. Part 2: Tableau Prep Builder for Data Modeling
  10. Chapter 3: Data Preparation with Tableau Prep Builder
  11. Chapter 4: Data Modeling Functions with Tableau Prep Builder
  12. Chapter 5: Advanced Modeling Functions in Tableau Prep Builder
  13. Chapter 6: Data Output from Tableau Prep Builder
  14. Part 3: Tableau Desktop for Data Modeling
  15. Chapter 7: Connecting to Data in Tableau Desktop
  16. Chapter 8: Building Data Models Using Relationships
  17. Chapter 9: Building Data Models at the Physical Level
  18. Chapter 10: Sharing and Extending Tableau Data Models
  19. Part 4: Data Modeling with Tableau Server and Online
  20. Chapter 11: Securing Data
  21. Chapter 12: Data Modeling Considerations for Ask Data and Explain Data
  22. Chapter 13: Data Management with Tableau Prep Conductor
  23. Chapter 14: Scheduling Extract Refreshes
  24. Chapter 15: Data Modeling Strategies by Audience and Use Case
  25. Index
  26. Other Books You May Enjoy
18.119.105.239