This is the code repository for Data Modeling with Tableau, published by Packt.
A practical guide to building data models using Tableau Prep and Tableau Desktop
- This book covers the following exciting features:
- 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
If you feel this book is for you, get your copy today!
Following is what you need for this book: 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.
With the following software and hardware list you can run all code files present in the book (Chapter 1-15).
Chapter | Software required | OS required |
---|---|---|
1-14 | Access to Tableau Server or Tableau Cloud | Windows, macOS, or Linux |
1-14 | Tableau Desktop version 2022.2 or higher | Windows, macOS, or Linux |
1-14 | Tableau Prep Builder version 2022.2 or higher | Windows, macOS, or Linux |
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.