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Tableau 2019.x Cookbook

You're reading from  Tableau 2019.x Cookbook

Product type Book
Published in Jan 2019
Publisher Packt
ISBN-13 9781789533385
Pages 670 pages
Edition 1st Edition
Languages
Authors (5):
Dmitry Anoshin Dmitry Anoshin
Profile icon Dmitry Anoshin
Teodora Matic Teodora Matic
Profile icon Teodora Matic
Slaven Bogdanovic Slaven Bogdanovic
Profile icon Slaven Bogdanovic
Tania Lincoln Tania Lincoln
Profile icon Tania Lincoln
Dmitrii Shirokov Dmitrii Shirokov
Profile icon Dmitrii Shirokov
View More author details
Toc

Table of Contents (18) Chapters close

Preface 1. Getting Started with Tableau Software 2. Data Manipulation 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

Working with big data

Tableau Prep works with big data volumes and big data tools, such as Snowflake, Redshift, and Amazon EMR. You can refer to Chapter 10, Tableau for Big Data and connect existing accounts of Amazon Redshift, Amazon EMR, or Snowflake.

Tableau Prep allows us to work with big data sets by leveraging sampling. However, it processes data on your local machine and if you want to create, extract, or export data into a CSV using a huge dataset, it can fail due to lack of memory. We learned that Tableau Desktop works with big data by rendering results using a live connection. We don't want to create an extract when working with big data. In the case of Tableau Prep, we can learn our dataset and then use filters to split the dataset and work with part of it.

Here's another solution: we can launch a powerful AWS EC2 instance and install Tableau Prep there, where...
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