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

Chapter 8: Beginning Advanced Analytics

In Chapter 7, Extracting Value, we developed our skills for analyzing your data and producing a report to consume your insights. In this chapter, we will extend our capabilities to complete a spatial analysis and start a Machine Learning (ML) project.

Using the spatial capabilities of Alteryx, we will learn about how we can generate spatial information in our dataset and use that spatial information to find the geographic relationships that are present.

Next, we will investigate the different options for building an ML project. We will investigate three levels of control for deploying an ML model built from a fully automated process to get complete control of all processes.

These topics will cover how to gain analytic insights directly from an Alteryx workflow. We will also see how we can leverage the Alteryx Server gallery to provide automated insights and extract these insights in an automated manner.

We will cover the following...