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 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.

Getting ready

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