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  • Book Overview & Buying Alteryx Designer Cookbook
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Alteryx Designer Cookbook

Alteryx Designer Cookbook

By : Guisande
4.9 (10)
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Alteryx Designer Cookbook

Alteryx Designer Cookbook

4.9 (10)
By: Guisande

Overview of this book

Alteryx allows you to create data manipulation and analytic workflows with a simple, easy-to-use, code-free UI, and perform fast-executing workflows, offering multiple ways to achieve the same results. The Alteryx Designer Cookbook is a comprehensive guide to maximizing your Alteryx skills and determining the best ways to perform data operations This book's recipes will guide you through an analyst's complete journey, covering all aspects of the data life cycle. The first set of chapters will teach you how to read data from various sources to obtain reports and pass it through the required adjustment operations for analysis. After an explanation of the Alteryx platform components with a particular focus on Alteryx Designer, you’ll be taken on a tour of what and how you can accomplish by using this tool. Along the way, you’ll learn best practices and design patterns. The book also covers real-world examples to help you apply your understanding of the features in Alteryx to practical scenarios By the end of this book, you’ll have enhanced your proficiency with Alteryx Designer and an improved ability to execute tasks within the tool efficiently
Table of Contents (17 chapters)
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Outputting Data

So far we have spent a lot of time and effort reading, cleaning, preparing, and processing our data, but doing this is not enough. We need to save and store processed data properly. Not doing it properly can lead to a series of problems that negatively affect your analysis, productivity, and decision-making.

First, saving the processed data allows it to be accessed efficiently and reused for future tasks and analysis. Once the data has been cleaned, analyzed, and transformed, there is no need to duplicate those efforts every time the data is needed again. Saving processed datasets in a structured format means they can simply be retrieved and used immediately for downstream applications. This saves a lot of time and resources compared to reprocessing raw data over and over again.

Additionally, properly saving processed data helps ensure that it maintains its integrity and accuracy over long periods of time. Raw data often needs significant preprocessing before...

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Alteryx Designer Cookbook
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