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

Part 2: Functional Steps in DataOps

The second part covers the methods to create a data pipeline in Alteryx. You will learn how to access new data sources, how to transform those data sources into analytical databases, and then save them for future use. Then, using the data sources you have created, you will learn how to use Alteryx to analyze the data and how to perform spatial analysis and create machine learning models.

This part comprises the following chapters:

  • Chapter 4, Sourcing the Data
  • Chapter 5, Data Processing and Transformations
  • Chapter 6, Destination Management
  • Chapter 7, Extracting Value
  • Chapter 8, Beginning Advanced Analytics