Data Modeling with Tableau
A practical guide to building data models using Tableau Prep and Tableau Desktop
Published on 30. September 2022
Book
Paperback/Softback
356 pages
978-1-80324-802-8 (ISBN)
Description
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 DescriptionTableau 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 forThis 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.
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 DescriptionTableau 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 forThis 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.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 20 mm
Weight
665 gr
ISBN-13
978-1-80324-802-8 (9781803248028)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Kirk Munroe is a Tableau Certified Desktop Professional, Tableau Certified Data Analyst, Tableau Certified Partner Architect, and Tableau Certified Partner Consultant, with over 20 years of work experience in business analytics.
He is the co-founder of Paint with Data, a Tableau partner and visual analytics coaching consulting firm. Kirk works with clients to improve their analytics skills from data modeling to storytelling and presenting. Kirk has worked at analytics software companies, including Salesforce/Tableau, IBM/Cognos, and Kinaxis in senior roles in product management, marketing, sales enablement, and customer success.
He is the co-founder of Paint with Data, a Tableau partner and visual analytics coaching consulting firm. Kirk works with clients to improve their analytics skills from data modeling to storytelling and presenting. Kirk has worked at analytics software companies, including Salesforce/Tableau, IBM/Cognos, and Kinaxis in senior roles in product management, marketing, sales enablement, and customer success.
Content
Table of Contents
Introducing Data Modeling in Tableau
Licensing Considerations and Types of Data Models
Data Preparation with Tableau Prep Builder
Data Modeling Functions with Tableau Prep Builder
Advanced Modeling Functions in Tableau Prep Builder
Data Output from Tableau Prep Builder
Connecting to Data in Tableau Desktop
Building Data Models Using Relationships
Building Data Models at the Physical Level
Sharing and Extending Tableau Data Models
Securing Data
Data Modeling Considerations for Ask Data and Explain Data
Data Management with Tableau Prep Conductor
Scheduling Extract Refreshes
Data Modeling Strategies by Audience and Use Case
Introducing Data Modeling in Tableau
Licensing Considerations and Types of Data Models
Data Preparation with Tableau Prep Builder
Data Modeling Functions with Tableau Prep Builder
Advanced Modeling Functions in Tableau Prep Builder
Data Output from Tableau Prep Builder
Connecting to Data in Tableau Desktop
Building Data Models Using Relationships
Building Data Models at the Physical Level
Sharing and Extending Tableau Data Models
Securing Data
Data Modeling Considerations for Ask Data and Explain Data
Data Management with Tableau Prep Conductor
Scheduling Extract Refreshes
Data Modeling Strategies by Audience and Use Case