Data Modeling with Tableau: A practical guide to building data models using Tableau Prep and Tableau Desktop
暫譯: 使用 Tableau 的資料建模:使用 Tableau Prep 和 Tableau Desktop 建立資料模型的實用指南
Munroe, Kirk
- 出版商: Packt Publishing
- 出版日期: 2022-12-30
- 定價: $1,670
- 售價: 9.5 折 $1,587
- 語言: 英文
- 頁數: 356
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1803248025
- ISBN-13: 9781803248028
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相關分類:
Data-visualization
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相關主題
商品描述
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.
商品描述(中文翻譯)
節省時間,利用最佳實踐分析大量數據,以提取、建模並從數據中創造洞察。
主要特點
- 精通使用 Tableau Prep Builder 和 Tableau Desktop 的數據建模最佳實踐
- 應用 Tableau Server 和 Cloud 來創建和擴展數據模型
- 根據數據和內容治理最佳實踐構建組織數據模型
書籍描述
Tableau 與大多數其他商業智慧平台不同,後者通常只有一個數據建模工具和企業數據模型(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 治理模型來建立數據驅動的組織。
《使用 Tableau 進行數據建模》是一本全面的指南,包含對基本概念的逐步解釋、實用示例和實作練習。隨著您逐步深入各章,您將學習 Tableau Prep Builder 和 Tableau Desktop 在數據建模中各自的角色。您還將探索 Tableau Server 和 Cloud 的組件,這些組件使數據建模更加穩健、安全和高效。此外,通過擴展 Ask 和 Explain Data 的數據模型,您將獲得將分析擴展到組織中更多人員所需的知識,從而促進更好的數據驅動決策。最後,本書將深入整個 Tableau 堆疊,獲得在 Tableau 數據模型中為正確用例構建適當治理所需的技術。
在本書結束時,您將對如何利用 Tableau 中的數據建模來使您的組織受益有堅實的理解。
您將學到的內容
- 展示 Tableau 發佈的數據來源和嵌入式連接
- 在數據目錄和自然語言查詢中應用 Ask Data
- 通過實作練習展示 Tableau Prep Builder 的功能
- 通過示例使用 Tableau Desktop 建模數據
- 使用 Tableau Server 和 Cloud 制定治理數據策略
- 優化 Ask 和 Explain Data 的數據模型
本書適合誰
本書適合希望擴展數據技能的數據分析師和商業分析師,提供廣泛的基礎,以便在 Tableau 中構建更好的數據模型,以便於分析和提高查詢性能。
它也將使負責通過 Tableau 向其組織提供可信和安全數據的個體受益,例如數據管理者和其他致力於將企業數據變得更易於商業分析師訪問的人員。
目錄大綱
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
目錄大綱(中文翻譯)
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