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 have learned the parts that make up the Alteryx platform. We have also learned how they can benefit you as a data engineer with faster development, an iterative workflow, and extendable self-documentation.

We examined an example of how to build a workflow with Designer and learned what the InDB tools can do. Finally, we introduced Server and Connect. We learned how Server can automate and scale your data engineering developments. Then we learned that Connect provides a place for user discovery of the datasets you have created.

In the next chapter, we will expand on what a data engineer is for Alteryx and how you can use Alteryx products for data engineering. Then we will introduce DataOps and why this is a guiding principle for data engineering in Alteryx.