Data Modeling with Tableau

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.

Type
ebook
Category
publication date
2022-12-30
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

no of pages
356
duration
712
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
approach
A step-by-step explanation of essential concepts and practical examples where you begin with understanding the role that Tableau Prep Builder and Tableau Desktop play in data modeling. The book will also explore the components of Tableau Server and Tableau online that make data modeling more robust, secure, and performant.
audience
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.
meta description
Save time analyzing large volumes of data using best practices to extract, model, and create insights from your data
short description
Data Modeling with Tableau is a practical guide to understanding Tableau's data model. Using a hands-on approach, you’ll master effective ways to build and securely share organizational data models built from multiple data sources. The book covers different parts of the Tableau platform and their role in a data modeling strategy.
subtitle
A practical guide to building data models using Tableau Prep and Tableau Desktop
keywords
Tableau, Tableau Desktop, Tableau Prep Builder, Tableau Prep, Data Modeling, Data Governance, Tableau Governance Model, Data Steward, Data Analyst, Business Analyst, Ask Data, Explain Data, SQL, Python, R
Product ISBN
9781803248028