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 Alteryx Designer to create workflows and the content that we have been using throughout the process. The example workflows and supporting code can be found on GitHub: If you want to use an alternative database, the processes would be the same with the connection modified for your alternative. If you want to complete the publication to Snowflake, you will need a Snowflake account. You can create a new Snowflake trial account, which will allow you to follow along with the chapter. Specific requirements for a Snowflake connection and the reasons why this database was chosen are described in the Publishing the external data to a Snowflake destination section.

You can follow the instructions for creating a Snowflake trial account described here: