Tableau Prep Cookbook
Use Tableau Prep to clean, combine, and transform your data for analysis
Seiten
2021
Packt Publishing Limited (Verlag)
978-1-80056-376-6 (ISBN)
Packt Publishing Limited (Verlag)
978-1-80056-376-6 (ISBN)
This Tableau book covers how Tableau Prep Builder can help you to combine, transform, and clean data in preparation for use in advanced analytics applications, including Tableau Desktop. You will learn how to create, run, and publish data flows and gain an understanding of best practice solutions for common scenarios.
Explore common and not-so-common data transformation scenarios and solutions to become well-versed with Tableau Prep and create efficient and powerful data pipelines
Key Features
Combine, clean, and shape data for analysis using self-service data preparation techniques
Become proficient with Tableau Prep for building and managing data flows across your organization
Learn how to combine multiple data transformations in order to build a robust dataset
Book DescriptionTableau Prep is a tool in the Tableau software suite, created specifically to develop data pipelines. This book will describe, in detail, a variety of scenarios that you can apply in your environment for developing, publishing, and maintaining complex Extract, Transform and Load (ETL) data pipelines.
The book starts by showing you how to set up Tableau Prep Builder. You'll learn how to obtain data from various data sources, including files, databases, and Tableau Extracts. Next, the book demonstrates how to perform data cleaning and data aggregation in Tableau Prep Builder. You'll also gain an understanding of Tableau Prep Builder and how you can leverage it to create data pipelines that prepare your data for downstream analytics processes, including reporting and dashboard creation in Tableau. As part of a Tableau Prep flow, you'll also explore how to use R and Python to implement data science components inside a data pipeline. In the final chapter, you'll apply the knowledge you've gained to build two use cases from scratch, including a data flow for a retail store to prepare a robust dataset using multiple disparate sources and a data flow for a call center to perform ad hoc data analysis.
By the end of this book, you'll be able to create, run, and publish Tableau Prep flows and implement solutions to common problems in data pipelines.
What you will learn
Perform data cleaning and preparation techniques for advanced data analysis
Understand how to combine multiple disparate datasets
Prepare data for different Business Intelligence (BI) tools
Apply Tableau Prep's calculation language to create powerful calculations
Use Tableau Prep for ad hoc data analysis and data science flows
Deploy Tableau Prep flows to Tableau Server and Tableau Online
Who this book is forThis book is for business intelligence professionals, data analysts, and Tableau users looking to learn Tableau Prep essentials and create data pipelines or ETL processes using it. Beginner-level knowledge of data management will be beneficial to understand the concepts covered in this Tableau cookbook more effectively.
Explore common and not-so-common data transformation scenarios and solutions to become well-versed with Tableau Prep and create efficient and powerful data pipelines
Key Features
Combine, clean, and shape data for analysis using self-service data preparation techniques
Become proficient with Tableau Prep for building and managing data flows across your organization
Learn how to combine multiple data transformations in order to build a robust dataset
Book DescriptionTableau Prep is a tool in the Tableau software suite, created specifically to develop data pipelines. This book will describe, in detail, a variety of scenarios that you can apply in your environment for developing, publishing, and maintaining complex Extract, Transform and Load (ETL) data pipelines.
The book starts by showing you how to set up Tableau Prep Builder. You'll learn how to obtain data from various data sources, including files, databases, and Tableau Extracts. Next, the book demonstrates how to perform data cleaning and data aggregation in Tableau Prep Builder. You'll also gain an understanding of Tableau Prep Builder and how you can leverage it to create data pipelines that prepare your data for downstream analytics processes, including reporting and dashboard creation in Tableau. As part of a Tableau Prep flow, you'll also explore how to use R and Python to implement data science components inside a data pipeline. In the final chapter, you'll apply the knowledge you've gained to build two use cases from scratch, including a data flow for a retail store to prepare a robust dataset using multiple disparate sources and a data flow for a call center to perform ad hoc data analysis.
By the end of this book, you'll be able to create, run, and publish Tableau Prep flows and implement solutions to common problems in data pipelines.
What you will learn
Perform data cleaning and preparation techniques for advanced data analysis
Understand how to combine multiple disparate datasets
Prepare data for different Business Intelligence (BI) tools
Apply Tableau Prep's calculation language to create powerful calculations
Use Tableau Prep for ad hoc data analysis and data science flows
Deploy Tableau Prep flows to Tableau Server and Tableau Online
Who this book is forThis book is for business intelligence professionals, data analysts, and Tableau users looking to learn Tableau Prep essentials and create data pipelines or ETL processes using it. Beginner-level knowledge of data management will be beneficial to understand the concepts covered in this Tableau cookbook more effectively.
Hendrik Kleine is an advanced analytics leader with 15 years of experience in the analytics space, including in data architecture, engineering, and visualization. He specializes in translating vast amounts of data into easy-to-understand visual communications that provide actionable intelligence. He is an avid innovator and a listed author of multiple data-related inventions. Before COVID-19, he was a speaker at the most recent Tableau conference in San Francisco.
Table of Contents
Getting Started with Tableau Prep
Extract and Load Processes
Cleaning Transformations
Data Aggregation
Combining Data
Pivoting Data
Creating Powerful Calculations
Data Science in Tableau Prep Builder
Creating Prep Flows in Various Business Scenarios
| Erscheinungsdatum | 09.03.2021 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 75 x 93 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Mathematik / Informatik ► Informatik ► Grafik / Design | |
| ISBN-10 | 1-80056-376-0 / 1800563760 |
| ISBN-13 | 978-1-80056-376-6 / 9781800563766 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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