Mastering Tableau 2019.1 - Second Edition: An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1 - Softcover

Meier, Marleen; Baldwin, David

Softcover

ISBN 10: 1789533880 ISBN 13: 9781789533880

Publisher: Packt Publishing, 2019

Synopsis

Build, design and improve advanced business intelligence solutions using Tableau's latest features, including Tableau Prep, Tableau Hyper, and Tableau Server

Key Features

• Master new features in Tableau 2019.1 to solve real-world analytics challenges
• Perform Geo-Spatial Analytics, Time Series Analysis, and self-service analytics using real-life examples
• Build and publish dashboards and explore storytelling using Python and MATLAB integration support

Book Description

Tableau is one of the leading business intelligence (BI) tools used to solve BI and analytics challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain.

This book is also the second edition of the popular Mastering Tableau series, with new features, examples, and updated code. The book covers essential Tableau concepts and its advanced functionalities. Using Tableau Hyper and Tableau Prep, you'll be able to handle and prepare data easily. You'll gear up to perform complex joins, spatial joins, union, and data blending tasks using practical examples. Following this, you'll learn how to perform data densification to make displaying granular data easier. Next, you'll explore expert-level examples to help you with advanced calculations, mapping, and visual design using various Tableau extensions. With the help of examples, you'll also learn about improving dashboard performance, connecting Tableau Server, and understanding data visualizations. In the final chapters, you'll cover advanced use cases such as Self-Service Analytics, Time Series Analytics, and Geo-Spatial Analytics, and learn to connect Tableau to R, Python, and MATLAB.

By the end of this book, you'll have mastered the advanced offerings of Tableau and be able to tackle common and not-so-common challenges faced in the BI domain.

What you will learn

• Get up to speed with various Tableau components
• Master data preparation techniques using Tableau Prep
• Discover how to use Tableau to create a PowerPoint-like presentation
• Understand different Tableau visualization techniques and dashboard designs
• Interact with the Tableau server to understand its architecture and functionalities
• Study advanced visualizations and dashboard creation techniques
• Brush up on powerful Self-Service Analytics, Time Series Analytics, and Geo-Spatial Analytics

About this title

About the Authors

Marleen Meier has worked in the field of data science and business intelligence since 2013. Her experience includes Tableau training, proof of concepts, implementations, project management, user interface designs, and quantitative risk management. In 2018, she was a speaker at the Tableau conference, where she showcased a machine learning project. Marleen uses Tableau, combined with other tools and software, to get the best business value for her stakeholders. She is also very active within the Tableau community, and recently joined the Dutch Tableau user group as one of their four leaders.

David Baldwin has provided consultancy services in the business intelligence sector for 17 years. His experience includes Tableau training and consulting, developing BI solutions, project management, technical writing, and web and graphic design. His vertical industry experience includes the financial, healthcare, human resource, aerospace, energy, education, government, and entertainment sectors. As a Tableau trainer and consultant, David enjoys serving a variety of clients throughout the USA. Tableau provides David with a platform that collates his broad experience into a skill set that can service a diverse client base.

Edition details

• Publisher: Packt Publishing
• Publication date: 2019
• ISBN 10: 1789533880
• ISBN 13: 9781789533880
• Binding: Paperback
• Language: English
• Edition number: 2
• Number of pages: 558