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

Applying DataOps as an Alteryx data engineer

In this chapter, we have examined how Alteryx can achieve a data engineering pipeline. We have looked at different definitions and examples of data engineering and data pipelines. However, the whole time we have been skirting around some underlying principles that underpin the process of our data engineering pipeline.

The DataOps methodology provides the structures and systems for delivering a data pipeline. It allows you to improve the cycle time and quality when producing data sources and analytics. Using the DataOps methodology for developing a data pipeline in Alteryx formalizes the iterative processes that naturally happen during development. DataOps also adds reporting and monitoring structures to ensure high data quality.

Using DataOps with Alteryx fits well as developing a workflow or pipeline in Alteryx involves an iterative process, which links to the improving cycle time. Additionally, implementing the strategies for quality...