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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

Chapter 9: Testing Workflows and Outputs

In the data pipeline that we have created, we have focused on acquiring datasets and extracting some value from them. Therefore, this part of the book will now focus on managing the Alteryx data pipeline created in Chapter 5, Data Processing and Transformations, as well as managing the DataOps process.

This chapter will be applying workflow tests and methods to monitor the data outputs that we created. The following topics will be covered:

  • Strategies for adding tests and messages to your workflows
  • How to validate your data outputs in the context of a regularly run workflow
  • Methods for centralizing your monitoring with Insights

Each method allows you to establish confidence in your datasets and monitor how well the workflow performs in production.

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