Tableau 2019.x Cookbook: Over 115 recipes to build end-to-end analytical solutions using Tableau

by Dmitry Anoshin, Teodora Matic, Slaven Bogdanovic, Tania Lincoln, Dmitrii Shirokov

Overview

Perform advanced dashboard, visualization, and analytical techniques with Tableau Desktop, Tableau Prep, and Tableau Server

Key Features

• Unique problem-solution approach to aid effective business decision-making
  
  


• Create interactive dashboards and implement powerful business intelligence solutions
  
  


• Includes best practices on using Tableau with modern cloud analytics services

Book Description

Tableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. Tableau 2019.x Cookbook is full of useful recipes from industry experts, who will help you master Tableau skills and learn each aspect of Tableau's ecosystem.

This book is enriched with features such as Tableau extracts, Tableau advanced calculations, geospatial analysis, and building dashboards. It will guide you with exciting data manipulation, storytelling, advanced filtering, expert visualization, and forecasting techniques using real-world examples. From basic functionalities of Tableau to complex deployment on Linux, you will cover it all. Moreover, you will learn advanced features of Tableau using R, Python, and various APIs. You will learn how to prepare data for analysis using the latest Tableau Prep. In the concluding chapters, you will learn how Tableau fits the modern world of analytics and works with modern data platforms such as Snowflake and Redshift. In addition, you will learn about the best practices of integrating Tableau with ETL using Matillion ETL.

By the end of the book, you will be ready to tackle business intelligence challenges using Tableau's features.

What you will learn

• Understand the basic and advanced skills of Tableau Desktop
  
  


• Implement best practices of visualization, dashboard, and storytelling
  
  


• Learn advanced analytics with the use of build in statistics
  
  


• Deploy the multi-node server on Linux and Windows
  
  


• Use Tableau with big data sources such as Hadoop, Athena, and Spectrum
  
  


• Cover Tableau built-in functions for forecasting using R packages
  
  


• Combine, shape, and clean data for analysis using Tableau Prep
  
  


• Extend Tableau's functionalities with REST API and R/Python
  
  

Who this book is for

Tableau 2019.x Cookbook is for data analysts, data engineers, BI developers, and users who are looking for quick solutions to common and not-so-common problems faced while using Tableau products. Put each recipe into practice by bringing the latest offerings of Tableau 2019.x to solve real-world analytics and business intelligence challenges. Some understanding of BI concepts and Tableau is required.

Product Details

ISBN-13:	9781789535358
Publisher:	Packt Publishing
Publication date:	01/31/2019
Sold by:	Barnes & Noble
Format:	eBook
Pages:	670
File size:	19 MB
Note:	This product may take a few minutes to download.

About the Author

Dmitry Anoshin is an expert in analytics with 10 years of experience. He started using Tableau as primary BI tool in 2011 as a BI consultant at Teradata. He is certified with both Tableau Desktop and Server. He leads probably the biggest Tableau user community, with more than 2,000 active users. This community has 2-3 Tableau talks every month led by top Tableau experts, Tableau Zen Masters, Viz Champions, and so on. In addition, Dmitry has previously written three books with Packt and reviewed more than seven books. Finally, he is an active speaker at data conferences and helps people to adopt cloud analytics.


Teodora Matic is a data analyst with a strong background in statistics and more than 5 years of experience in data analytics and reporting. She has been using Tableau since 2014. She has been working as a project manager and data analyst for leading market research companies, such as Ipsos and EyeSee Research, levering the power of Tableau to bring business insights to clients. She currently does data analysis and reporting at the International Committee of the Red Cross.


Slaven Bogdanovic has more than 10 years of experience in data analysis and reporting within both business and academic field. His expertise covers complex statistical analysis and insight communication. He has been using Tableau since 2013. Currently, he works as a BI/big data developer at NCR Corporation. Previously, he was a senior research executive at Ipsos. Also, Slaven is a PhD candidate and a member of the Laboratory for Research of Individual Differences at the University of Belgrade. In addition, Slaven is the author of six articles published in academic and professional journals.


Tania Lincoln has over 12 years of development experience in BI and data analytics domain. She has a strong SQL, visualization, and analytics skill set, and has demonstrated the ability to mentor others on new technologies and process improvements. She is also experienced in taking a product from inception to launch and managing post-launch growth.


Dmitrii Shirokov has over 11 years of design and development of data-driven solutions. He has been using Tableau since 2011 in the majority of analytics projects. His expertise covers building data warehouses and sophisticated analytical solutions. Currently, he works as a solutions architect at Rock Your Data consulting company. Previously, he was a big data architect at Sberbank and also worked as a professional service consultant at Teradata.

Table of Contents

Table of Contents

1. Getting Started with Tableau Software
2. Data Manipulation
3. Tableau Extracts
4. Tableau Desktop Advanced Calculations
5. Tableau Desktop Advanced Filtering
6. Building Dashboard
7. Telling story with Tableau
8. Tableau Visualization
9. Tableau Advanced Visualization
10. Tableau for Big Data
11. Forecasting with Tableau
12. Advanced Analytics with Tableau
13. Deploy Tableau Server
14. Tableau Troubleshooting
15. Preparing Data for Analysis with Tableau Prep
16. ETL Best Practices for Tableau