Data Engineering with Alteryx [ebook]
Data Engineering with Alteryx
Language - English
Updated on Mar, 2025
About the Book
Book description
Build and deploy data pipelines with Alteryx by applying practical DataOps principles
Key Features
- Learn DataOps principles to build data pipelines with Alteryx
- Build robust data pipelines with Alteryx Designer
- Use Alteryx Server and Alteryx Connect to share and deploy your data pipelines
Book Description
Alteryx is a GUI-based development platform for data analytic applications.
Data Engineering with Alteryx will help you leverage Alteryx’s code-free aspects which increase development speed while still enabling you to make the most of the code-based skills you have.
This book will teach you the principles of DataOps and how they can be used with the Alteryx software stack. You’ll build data pipelines with Alteryx Designer and incorporate the error handling and data validation needed for reliable datasets. Next, you’ll take the data pipeline from raw data, transform it into a robust dataset, and publish it to Alteryx Server following a continuous integration process.
By the end of this Alteryx book, you’ll be able to build systems for validating datasets, monitoring workflow performance, managing access, and promoting the use of your data sources.
What you will learn
- Build a working pipeline to integrate an external data source
- Develop monitoring processes for the pipeline example
- Understand and apply DataOps principles to an Alteryx data pipeline
- Gain skills for data engineering with the Alteryx software stack
- Work with spatial analytics and machine learning techniques in an Alteryx workflow Explore Alteryx workflow deployment strategies using metadata validation and continuous integration
- Organize content on Alteryx Server and secure user access
Who this book is for
If you’re a data engineer, data scientist, or data analyst who wants to set up a reliable process for developing data pipelines using Alteryx, this book is for you. You’ll also find this book useful if you are trying to make the development and deployment of datasets more robust by following the DataOps principles. Familiarity with Alteryx products will be helpful but is not necessary.
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Author Details

<a href="https://market.tutorialspoint.com/author/paul_houghton">Paul Houghton</a>
Packt are an established, trusted, and innovative global technical learning publisher, founded in Birmingham, UK with over eighteen years experience delivering rich premium content from ground-breaking authors and lecturers on a wide range of emerging and established technologies for professional development.
Packt’s purpose is to help technology professionals advance their knowledge and support the growth of new technologies by publishing vital user focused knowledge-based content faster than any other tech publisher, with a growing library of over 9,000 titles, in book, e-book, audio and video learning formats, our multimedia content is valued as a vital learning tool and offers exceptional support for the development of technology knowledge.
We publish on topics that are at the very cutting edge of technology, helping IT professionals learn about the newest tools and frameworks in a way that suits them.
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