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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 3: DataOps and Its Benefits

In Chapter 2, Data Engineering with Alteryx, we introduced Alteryx products, the DataOps framework, and how Alteryx products are accommodated within the DataOps framework. This chapter will look at the key benefits of applying DataOps and what rewards you will gain by implementing DataOps in your organization.

We will explore the principles of DataOps and investigate how they apply to Alteryx development. We will also look at the specifics of which tools in the Alteryx platform can implement the principles of DataOps.

Throughout this chapter, you will learn how Alteryx can help leverage the DataOps process and apply the principles in an Alteryx pipeline.

In this chapter, we will cover the following topics:

  • The benefits the DataOps framework brings to your organization
  • Understanding DataOps principles
  • Applying DataOps to Alteryx
  • Using Alteryx software with DataOps
  • General steps for deploying DataOps in your environment...
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