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Tableau 2019.x Cookbook

You're reading from   Tableau 2019.x Cookbook Over 115 recipes to build end-to-end analytical solutions using Tableau

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789533385
Length 670 pages
Edition 1st Edition
Languages
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Authors (6):
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Tania Lincoln Tania Lincoln
Author Profile Icon Tania Lincoln
Tania Lincoln
Slaven Bogdanovic Slaven Bogdanovic
Author Profile Icon Slaven Bogdanovic
Slaven Bogdanovic
Teodora Matic Teodora Matic
Author Profile Icon Teodora Matic
Teodora Matic
Rintaro Sugimura Rintaro Sugimura
Author Profile Icon Rintaro Sugimura
Rintaro Sugimura
Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
Dmitrii Shirokov Dmitrii Shirokov
Author Profile Icon Dmitrii Shirokov
Dmitrii Shirokov
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Table of Contents (18) Chapters Close

Preface 1. Getting Started with Tableau Software 2. Data Manipulation FREE CHAPTER 3. Tableau Extracts 4. Tableau Desktop Advanced Calculations 5. Tableau Desktop Advanced Filtering 6. Building Dashboards 7. Telling a 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 17. Other Books You May Enjoy

ETL Best Practices for Tableau

Tableau is a leader among BI tools and it brings great power to any organization. But with great power, there is great responsibility. Tableau is a tool that does what the end user wants. However, Tableau is at the top of the iceberg and it works with other tools, such as Data Warehouse and ETL (ETL allows us to load data into Data Warehouse or Data Platform). The key aspect of any Tableau implementation is quality analytics and actionable business insights that will drive business decisions and help the business grow. As a result, it is important to integrate Tableau with ETL and Data Warehouse.

In this chapter, we want to go through one of the most common problems that we spot on every project. Usually, organizations tend to use multiple independent vendors for their BI solution. As a result, there could be a gap, especially between a Data Warehouse...

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