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Data Engineering with Alteryx

You're reading from   Data Engineering with Alteryx Helping data engineers apply DataOps practices with Alteryx

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781803236483
Length 366 pages
Edition 1st Edition
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Author (1):
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Paul Houghton Paul Houghton
Author Profile Icon Paul Houghton
Paul Houghton
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Introduction
2. Chapter 1: Getting Started with Alteryx FREE CHAPTER 3. Chapter 2: Data Engineering with Alteryx 4. Chapter 3: DataOps and Its Benefits 5. Part 2: Functional Steps in DataOps
6. Chapter 4: Sourcing the Data 7. Chapter 5: Data Processing and Transformations 8. Chapter 6: Destination Management 9. Chapter 7: Extracting Value 10. Chapter 8: Beginning Advanced Analytics 11. Part 3: Governance of DataOps
12. Chapter 9: Testing Workflows and Outputs 13. Chapter 10: Monitoring DataOps and Managing Changes 14. Chapter 11: Securing and Managing Access 15. Chapter 12: Making Data Easy to Use and Discoverable with Alteryx 16. Chapter 13: Conclusion 17. Other Books You May Enjoy

Profiling data with summary and statistical aggregations

Once you have your dataset, getting an idea of what values are in it allows you to understand what the data looks like. Knowing what the data is like provides a reference when you are ready to compare across runs.

In Alteryx, there are a number of ways in which to investigate the range of values that appear in the dataset. In this section, we are going to look at the following three areas:

  • What is the variation in the dataset and the size of the range?
  • How is the dataset distributed?
  • What proportion of your records is missing values?

In each of these areas, Alteryx provides tools for answering the questions quickly and also has methods for those answers to be persisted in your logging systems.

Investigating the variation and size range of your dataset

The first area to investigate is the spread of the data. Understanding the aggregated spread of the records in each field will give you an understanding...

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