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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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Toc

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

Constructing a data pipeline in Alteryx Designer

Now that we have a working extraction workflow, we need to convert this into a production pipeline for automation. We need to add the extra documentation and the validation for the workflow to do this.

The steps we will implement in relation to the workflow are as follows:

  • Configure the annotations/names of tools, meaning the logs are more helpful.
  • Add the initial documentation to the workflow.
  • Calculate the first initial statistical values for the dataset.
  • Add an output step to persist the processed dataset.

The previous steps are added to the workflow to support the DataOps deployment by building the Confidence pillar. In addition, these steps allow anyone to understand the workflow quickly in the future.

Figure 4.18 – Overview of the entire pipeline

The preceding diagram shows an overview of our example workflow. This workflow performs the following processes:

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