Data Engineering with Alteryx

Alteryx lets people build data analytics applications through a visual interface instead of writing every step by hand. This book shows how to use those code-free features to move faster while still putting your existing coding skills to work. It also introduces the core ideas behind DataOps and explains how they apply to the Alteryx software stack.

Readers start by assembling pipelines in Alteryx Designer, adding error handling and data validation so the output can be trusted. From there, the book follows a dataset from raw input through cleaning and transformation, then publishes it to Alteryx Server using a continuous integration process.

The final chapters cover building systems that validate datasets, monitor workflow performance, control access, and make data sources easier for others to use. The book is written for data engineers, data scientists, and data analysts who want a dependable way to develop Alteryx pipelines, and for anyone who wants to apply DataOps principles to make dataset development and deployment more reliable. Prior experience with Alteryx products is helpful but not required.