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Alteryx Designer Cookbook

You're reading from   Alteryx Designer Cookbook Over 60 recipes to transform your data into insights and take your productivity to a new level

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781804615089
Length 740 pages
Edition 1st Edition
Tools
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Author (1):
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Alberto Guisande Alberto Guisande
Author Profile Icon Alberto Guisande
Alberto Guisande
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Toc

Table of Contents (17) Chapters Close

Preface 1. Chapter 1: Inputting Data from Files 2. Chapter 2: Working with Databases FREE CHAPTER 3. Chapter 3: Preparing Data 4. Chapter 4: Transforming Data 5. Chapter 5: Data Parsing 6. Chapter 6: Grouping Data 7. Chapter 7: Blending and Merging Datasets 8. Chapter 8: Aggregating Data 9. Chapter 9: Dynamic Operations 10. Chapter 10: Macros and Apps 11. Chapter 11: Downloads, APIs, and Web Services 12. Chapter 12: Developer Tools 13. Chapter 13: Reporting with Alteryx 14. Chapter 14: Outputting Data 15. Index 16. Other Books You May Enjoy

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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