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Mastering Tableau 2023

You're reading from Mastering Tableau 2023 Implement advanced business intelligence techniques, analytics, and machine learning models with Tableau

Product type Paperback

Published in Aug 2023

Publisher Packt

ISBN-13 9781803233765

Length 684 pages

Edition 4th Edition

Languages

Python

Tools

Tableau

Concepts

Business Intelligence

Author (1):

Marleen Meier

View More author details

Table of Contents (19) Chapters

Preface

1. Reviewing the Basics

2. Getting Your Data Ready FREE CHAPTER

3. Using Tableau Prep Builder

4. Learning about Joins, Blends, and Data Structures

5. Introducing Table Calculations

6. Utilizing OData, Data Densification, Big Data, and Google BigQuery

7. Practicing Level of Detail Calculations

8. Going Beyond the Basics

9. Working with Maps

10. Presenting with Tableau

11. Designing Dashboards and Best Practices for Visualizations

12. Leveraging Advanced Analytics

13. Improving Performance

14. Exploring Tableau Server and Tableau Cloud

15. Integrating Programming Languages

16. Developing Data Governance Practices

17. Other Books You May Enjoy

18. Index

Using Tableau Prep Builder

Tableau Prep Builder was introduced with version 2018.1 of Tableau Desktop, but what can we use Tableau Prep Builder (henceforth referred to in this chapter as Prep) for? The core purpose of the tool is data preparation. The good news is, Prep is fully compatible with Tableau Desktop, and also with Tableau Server. That means you can execute jobs in Prep to clean your data with the click of a button. Additionally, Prep is as visual as its big brother, Tableau Desktop, meaning that you can see every step of data preparation in a fully visual format.

Therefore, let’s dive into the Graphical User Interface (GUI) and be amazed by another high-end product, which will allow you to get initial data insights, enabling you to decide faster whether your dataset is worth analysis. Prep will pave the way for an even smoother Tableau Desktop experience.

In this chapter, the following topics will be discussed:

Connecting to data
The Prep...

The rest of the chapter is locked

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Authors (1)

Marleen Meier

Marleen Meier

Marleen Meier is an accomplished analyst and author with a passion for statistics and data. By using traditional methodologies and approaches such as Machine Learning and AI, Marleen is dedicated to driving meaningful insights. Currently working as the APAC Data CoE Lead for ABN AMRO Clearing, Marleen is at the forefront of innovation and implementing data-driven strategies in a global financial environment. She has lived and worked in multiple countries, including Germany, the Netherlands, the USA, and Singapore, allowing her to bring a diverse and global perspective to her work. Through her writing and speaking engagements, she aims to empower individuals and organizations to unlock the full potential of their data assets.

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