Book Image

Data Engineering with Alteryx

By : Paul Houghton
Book Image

Data Engineering with Alteryx

By: Paul Houghton

Overview of this book

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.
Table of Contents (18 chapters)
Part 1: Introduction
Part 2: Functional Steps in DataOps
Part 3: Governance of DataOps

Technical requirements

In this chapter, you will need access to Alteryx Designer with the predictive tools installed for creating workflows. The install process is discussed in the Building workflows with R-based predictive tools section later in the chapter. The predictive tools require a separate Alteryx install package but do not have any additional licensing cost associated with them.

The Using the Intelligence Suite section requires the Intelligence Suite add-on to the designer package. This add-on is separately licensed to the main Alteryx Designer package and therefore, to complete that section of the exercises, you will require access to that license. The example workflows can be found in the book's GitHub repository here:

Finally, the datasets we will be using for this chapter are all part of the Alteryx install. You can find them in the Alteryx sample data folder. By default...