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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
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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

Connecting to Snowflake

Snowflake is the leading cloud data warehouse platform. Moreover, it is the first data warehouse that was created for the cloud. In this section, we will launch a Snowflake instance and connect to it with Tableau. Currently, Snowflake is available for AWS and Azure. We are going to use the AWS version of Snowflake.

Snowflake has a multi-cluster shared architecture, and it separates storage and computes. This allows it to easily scale up and down on the fly without any disruption.

Snowflake is an SQL data warehouse that supports structured and semi-structured data, such as JSON, AVRO, or XML.

The Snowflake architecture consists of the following three layers:

  • Cloud services: This is a collection of services such as authentication, and so on
  • Query processing: Snowflake executes queries using a virtual warehouse, for example, an MPP cluster with multiple compute...
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