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)

Launching an Amazon Redshift cluster

AWS allows us to create a powerful analytical data warehouse with just multiple clicks. In this recipe, we will create an Amazon Redshift cluster using AWS Free Tier. AWS provides us with two months of free usage of the basic cluster, which is still powerful and good for our purpose.

How to do it...

We should launch an Amazon Redshift cluster, as shown via the following steps:

  1. Let's find Amazon Redshift among AWS services, as follows:
  1. Click on Quick Launch Cluster.

  1. Fill the options for the cluster, as shown in the following screenshot:
  1. We should choose the smallest cluster if we want to use the trial version of AWS. We will choose our IAM roles and enter the password.
  2. We...