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

Save time analyzing large 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 Tableau 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 highly flexible. This book will help you effectively use Tableau governance models to build a data-driven organization. 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’ll 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 Tableau 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 guide you through the entire Tableau stack and the techniques required to build the right level of governance into Tableau data models for the correct 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
• Understand the features of Tableau Prep Builder with the help of hands-on exercises
• Model data with Tableau Desktop using examples
• Formulate a governed data strategy using Tableau Server and Tableau 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 enhance 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 anyone responsible for making 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.