Home Data Mastering Tableau 2019.1 - Second Edition

Mastering Tableau 2019.1 - Second Edition

By Marleen Meier , David Baldwin
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  1. Free Chapter
    Section 1: Tableau Concepts, Basics
About this book
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.
Publication date:
February 2019
Publisher
Packt
Pages
558
ISBN
9781789533880

 

Section 1: Tableau Concepts, Basics

Part 1 of this book will cover the general concepts of Tableau that will allow you to start working with Tableau.

The following chapters are in this section:

  • Chapter 1, Getting Up to Speed – A Review of the Basics
  • Chapter 2, All about Data – Getting Your Data Ready
  • Chapter 3, Tableau Prep
  • Chapter 4, All about Data – Joins, Blends, and Data Structures
  • Chapter 5, All about Data – Data Densification, Cubes, and Big Data
  • Chapter 6, Table Calculations
  • Chapter 7, Level of Detail Calculations
About the Authors
  • Marleen Meier

    Marleen Meier has been working in the field of data science since 2013. Her experience includes Tableau training, proof of concepts, implementation, enablement as well as quantitative analysis, machine learning and AI. In 2018, she was a speaker at the Tableau conference, where she showcased an anomaly detection model using neural networks, visualized in Tableau.

    Browse publications by this author
  • David Baldwin

    David Baldwin has been providing consulting in the business intelligence sector for 22 years. His experience includes Tableau training and consulting, developing BI solutions, project management, technical writing, and web and graphic design. His vertical experience includes financial, healthcare, human resources, aerospace, energy, education, government, and entertainment industries.

    Browse publications by this author
Latest Reviews (3 reviews total)
It lacks the flow and needs to be sharper in terms of explaining the concept
il libro può anche essere buono ma è molto basato sui workbook allegati e io ho molte difficoltà nell'utilizzare il materiale allegato. i workbook a volte sembrano incompleti, vengono richiamate pagine che non esistono (e i richiami nel testo sono anche sono vaghi).
Great book. Concise and easy to follow.
Mastering Tableau 2019.1 - Second Edition
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