Data Engineering with Alteryx

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 that 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 data sets. Next, you'll take the data pipeline from raw data, transform it into a robust data set, 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 the data sets, monitoring workflow performance and 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 your Alteryx Server and secure user access

Who This Book Is For

If you're a data engineer, data scientist, or analyst who wants a robust process for developing data pipelines using Alteryx, this book is for you. Familiarity with Alteryx products will be useful but is not necessary.

Table of Contents

1. Getting Started with Alteryx
2. Data Engineering with Alteryx
3. DataOps and Its Benefits
4. Sourcing the Data
5. Data Processing and Transformations
6. Destination Management
7. Extracting Value
8. Beginning Advanced Analytics
9. Testing Workflows and Outputs
10. Monitoring DevOps and Managing Changes
11. Securing and Managing Access
12. Making Data Easy to Use and Discoverable with Alteryx
13. Conclusion