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)
1
Part 1: Introduction
5
Part 2: Functional Steps in DataOps
11
Part 3: Governance of DataOps

Summary

In this chapter, we focused on understanding how to use Alteryx for data engineering. In the examples, we looked at how a workflow can take data from the source to the end users. We also examined how we can make those datasets more usable for both the end user who requested the data and any other user who may require that data in the future.

We also introduced DataOps and explained how the framework makes the data pipeline process automated and faster while delivering higher quality data.

In the next chapter, we will look at DataOps in more depth. We will learn how to apply DevOps with Alteryx and detail the benefits that a DevOps practice will bring to your Alteryx data engineering.