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 learned how to investigate our dataset. We learned about some of the processes required when completing exploratory data analysis. We used some common investigation questions, such as identifying missing values, to apply the exploration skills we would need.

We also learned how to create a report and bring together the analysis and insights that we have learned. We also saw the two methods for exporting the report and rendering it into a final file or email.

In Chapter 8, Beginning Advanced Analytics, we will extend our analytic capability to use spatial tools and acquire the initial skills required for a machine learning analysis.