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)

ETL Best Practices for Tableau

Tableau is a leader among BI tools and it brings great power to any organization. But with great power, there is great responsibility. Tableau is a tool that does what the end user wants. However, Tableau is at the top of the iceberg and it works with other tools, such as Data Warehouse and ETL (ETL allows us to load data into Data Warehouse or Data Platform). The key aspect of any Tableau implementation is quality analytics and actionable business insights that will drive business decisions and help the business grow. As a result, it is important to integrate Tableau with ETL and Data Warehouse.

In this chapter, we want to go through one of the most common problems that we spot on every project. Usually, organizations tend to use multiple independent vendors for their BI solution. As a result, there could be a gap, especially between a Data Warehouse...