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 in building a data-driven organization with the proper use of tableau governance models.
Data modeling with Tableau is complete with step-by-step explanations of essential concepts, practical examples, and hands-on exercises. You will learn the role that Tableau Prep Builder and Tableau Desktop each play in data modeling. It also explores 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 will 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.
What you will learn
- Feature the Tableau published data sources and embedded connections
- Apply Ask Data in data cataloging and natural language query
- Exhibit features of Tableau Prep Builder with a hands-on exercise
- 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 equally targeted at Data Analysts and Business Analysts who are looking to expand their data skills, the book offers a broad foundation for you to build better data models in Tableau to allow for easier analysis and better query performance.
This book is also for individuals responsible for making trusted and secure data available to their organization through Tableau. These people often carry the title of data steward and work to take enterprise data and make it more accessible to business analysts.
Table of Contents
- Introducing Data Modeling in Tableau
- Trade-offs in Data Models and Licensing Considerations
- Data Preparation with Tableau Prep Builder
- Data Modeling Functions with Tableau Prep Builder
- Advanced Modeling Functions
- Data Output
- Connecting to data in Tableau Desktop
- Building data models using Relationships
- Building data models at the Physical Layer
- Sharing and extending Tableau data models
- Securing Data
- Data modeling considerations for Ask and Explain Data
- Data Management with Tableau Prep Conductor
- Operationalizing Data with Tableau Server and Tableau Bridge
- Selecting Governance Models with Tableau