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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

The Alteryx data engineer

The Alteryx Software stack, comprising Alteryx Designer, Alteryx Server, and Alteryx Connect, is the core tool an Alteryx data engineer uses to build, deploy, and publicize the datasets and data pipelines created. Following an iterative development process, a data engineer quickly finds a dataset, transforms the dataset, and then provides the dataset to end users.

In Chapter 1, Getting Started, we introduced the components of the Alteryx platform and demonstrated their use in a simple example. We also introduced the working definition of data engineering as follows:

Data engineering is the process of taking data from any number of disparate sources and transforming it into a usable format for an end user.

This definition provided a starting point for building a process for accessing data sources and making them a valuable resource for our end users. Using Alteryx provided three key benefits for you as a data engineer:

  • Speed of development
  • ...
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