Mastering Tableau 2021 Third Edition

Implement advanced business intelligence techniques and analytics with Tableau

Marleen Meier , David Baldwin 지음

Packt(GCO Science) 2021년 05월 31일 출간

작품소개

책소개

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

▶What You Will Learn
-Get up to speed with various Tableau components
-Master data preparation techniques using Tableau Prep Builder
-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

▶Key Features
-Master new features in Tableau 2021 to solve real-world analytics challenges
-Perform geo-spatial, time series, and self-service analytics using real-life examples
-Build and publish dashboards and explore storytelling using Python and R integration support

▶Who This Book Is For
This book is designed for business analysts, business intelligence professionals and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. The book is ideal if you have a good understanding of Tableau and want to take your skills to the next level.

목차

▶TABLE of CONTENTS
-Chapter 1: Getting Up to Speed ？ A Review of the Basics
-Chapter 2: All About Data ？ Getting Your Data Ready
-Chapter 3: Tableau Prep Builder
-Chapter 4: All About Data ？ Joins, Blends, and Data Structures
-Chapter 5: Table Calculations
-Chapter 6: All About Data ？ Data Densification, Cubes, and Big Data
-Chapter 7: Level of Detail Calculations
-Chapter 8: Beyond the Basic Chart Types
-Chapter 9: Mapping
-Chapter 10: Tableau for Presentations
-Chapter 11: Visualization Best Practices and Dashboard Design
-Chapter 12: Advanced Analytics
-Chapter 13: Improving Performance
-Chapter 14: Interacting with Tableau Server/Online
-Chapter 15: Programming Tool Integration

책 속으로

▶What this book covers
- Chapter 1, Getting Up to Speed ？ A Review of the Basics, takes you through the basic and essential Tableau concepts needed to get you started.

- Chapter 2, All About Data ？ Getting Your Data Ready, introduces the Tableau datahandling engine, after which we will dive into knowledge-discovery process models, as well as data mining. Last but not least, we will talk about data cleaning.

- Chapter 3, Tableau Prep Builder, discusses Tableau Prep Builder, a new member of the Tableau family, and how it can benefit your workflows.

- Chapter 4, All About Data ？ Joins, Blends, and Data Structures, considers the big question that Tableau users face on a daily basis: should I blend, join, or union my data? We will also discuss relationships, join calculations, and spatial joins, which are fairly new features in Tableau.

- Chapter 5, Table Calculations, covers functions and table calculations in the process flow and explains why table calculations are still relevant now that LOD calculations are available.

- Chapter 6, All About Data ？ Data Densification, Cubes, and Big Data, discusses data densification and how we can display more granular data than the given granularity of the dataset. We will then move on to cubes and big data, and how to deal with it in Tableau.

- Chapter 7, Level of Detail Calculations, helps you understand how to use LODs in such a way that you won't want to live without them any longer, by building a variety of playgrounds to experiment with. We will then combine LOD calculations with table calculations, sets, and parameters to maximize their potential.

- Chapter 8, Beyond the Basic Chart Types, introduces some widely used chart types, demonstrating how to extend their usefulness, along with some more unique chart types, all beyond the "Show Me" section. Tableau extensions, a new feature, are explained too, with a couple of examples.

- Chapter 9, Mapping, covers Tableau's mapping capabilities using custom polygons, heatmaps

출판사 서평

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

Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you'll be able to perform data preparation and handling easily. You'll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Following this, you'll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You'll also learn about improving dashboard performance, connecting to Tableau Server and understanding data visualization with examples. Finally, you'll cover advanced use cases such as self-service analysis, time series analysis, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within Tableau.

By the end of this Tableau book, you'll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain.

작가정보

저자(글) 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.

저자(글) 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.