Book Image

Tableau 2019.x Cookbook

By : Dmitry Anoshin, Teodora Matic, Slaven Bogdanovic, Tania Lincoln, Dmitrii Shirokov
Book Image

Tableau 2019.x Cookbook

By: Dmitry Anoshin, Teodora Matic, Slaven Bogdanovic, Tania Lincoln, Dmitrii Shirokov

Overview of this book

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.
Table of Contents (18 chapters)

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...