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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

Summary

In this chapter, we have learned the parts that make up the Alteryx platform. We have also learned how they can benefit you as a data engineer with faster development, an iterative workflow, and extendable self-documentation.

We examined an example of how to build a workflow with Designer and learned what the InDB tools can do. Finally, we introduced Server and Connect. We learned how Server can automate and scale your data engineering developments. Then we learned that Connect provides a place for user discovery of the datasets you have created.

In the next chapter, we will expand on what a data engineer is for Alteryx and how you can use Alteryx products for data engineering. Then we will introduce DataOps and why this is a guiding principle for data engineering in Alteryx.

You have been reading a chapter from
Data Engineering with Alteryx
Published in: Jun 2022
Publisher: Packt
ISBN-13: 9781803236483
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