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

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.

範例翻譯:

使用最佳實踐來節省分析大量數據的時間，從數據中提取、建模和創建洞察力

主要特點

- 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

書籍描述

Tableau不同於大多數其他只有一個數據建模工具和企業數據模型的商業智能平台（例如，Google的Looker的LookML）。這並不意味著Tableau沒有企業數據治理；它既強大又非常靈活。本書將幫助您通過正確使用Tableau治理模型來建立一個數據驅動的組織。

《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。

通過閱讀本書，您將對如何在Tableau中利用數據建模為組織帶來益處有深入的理解。

您將學到什麼

- 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

本書適合對象

本書適合數據分析師和業務分析師，他們希望擴展自己的數據技能，為在Tableau中建立更好的數據模型以便進行更輕鬆的分析和更好的查詢性能提供廣泛的基礎。

對於負責通過Tableau將可信且安全的數據提供給組織的個人，例如數據管理員和其他致力於將企業數據變得更易於業務分析師訪問的人，本書也將有所幫助。

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