Data Modeling with Tableau: A practical guide to building data models using Tableau Prep and Tableau Desktop

Munroe, Kirk

  • 出版商: Packt Publishing
  • 出版日期: 2022-12-30
  • 售價: $1,670
  • 貴賓價: 9.5$1,587
  • 語言: 英文
  • 頁數: 356
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1803248025
  • ISBN-13: 9781803248028
  • 相關分類: Data-visualization
  • 立即出貨 (庫存=1)


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.





- 通過Tableau Prep Builder和Tableau Desktop掌握數據建模的最佳實踐

- 使用Tableau Server和Cloud創建和擴展數據模型

- 基於數據和內容治理的最佳實踐構建組織數據模型



《使用Tableau進行數據建模》是一本詳盡的指南,包括基本概念的逐步解釋、實用示例和實踐練習。隨著您逐步閱讀各章節,您將了解Tableau Prep Builder和Tableau Desktop在數據建模中的角色。您還將探索使數據建模更強大、安全和高效的Tableau Server和Cloud組件。此外,通過擴展數據模型以進行問答和解釋數據,您將獲得將分析擴展到組織中更多人員所需的知識,從而做出更好的數據驅動決策。最後,本書將涵蓋整個Tableau堆棧,並提供構建適用於正確用例的Tableau數據模型所需的技術。



- 展示Tableau發布的數據源和嵌入式連接

- 在數據目錄和自然語言查詢中應用Ask Data

- 通過實踐練習展示Tableau Prep Builder的功能

- 通過示例使用Tableau Desktop進行數據建模

- 制定使用Tableau Server和Cloud的受管數據策略

- 優化數據模型以應用Ask和Explain Data





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


1. 在Tableau中介紹數據建模
2. 考慮Tableau的授權和數據模型類型
3. 使用Tableau Prep Builder進行數據準備
4. 使用Tableau Prep Builder進行數據建模函數
5. Tableau Prep Builder中的高級建模函數
6. 從Tableau Prep Builder輸出數據
7. 在Tableau Desktop中連接數據
8. 使用關聯建立數據模型
9. 在物理層面建立數據模型
10. 共享和擴展Tableau數據模型
11. 保護數據
12. Ask Data和Explain Data的數據建模考慮事項
13. 使用Tableau Prep Conductor進行數據管理
14. 設定提取刷新
15. 根據受眾和使用情境的數據建模策略