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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

Connecting Amazon Elastic MapReduce with Apache Hive

Amazon Elastic MapReduce (EMR) is a true big data platform. It provides a managed Hadoop framework that can process a huge volume of data across dynamically scalable Amazon EC2 instances. It allows us to run popular distributed frameworks with it, such as Presto, Hive, Spark, and others. This is a short video about Amazon EMR: https://youtu.be/S6Ja55n-o0M.

Organizations use Hadoop for big data use cases, such as clickstream analysis, log analysis, predictive analytics, data transformation, data lake, and many more. Often, business users need to work with raw data that is stored in Hadoop, in our case Amazon EMR. There are multiple ways to connect Hadoop with Tableau, such as Presto, Hive, and more.

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