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  • Book Overview & Buying Data Engineering with Alteryx
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Data Engineering with Alteryx

Data Engineering with Alteryx

By : Paul Houghton
4.8 (11)
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Data Engineering with Alteryx

Data Engineering with Alteryx

4.8 (11)
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)
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1
Part 1: Introduction
5
Part 2: Functional Steps in DataOps
11
Part 3: Governance of DataOps

Summary

In this chapter, we have investigated methods for managing the DataOps process. First, we learned how to monitor the performance of an Alteryx Server with the Server Usage reports and how we can use the Usage Report macro to extract the data records. We then created an Insight monitoring dashboard using the Usage Report macro. We were able to deploy the insight to our server and keep it updated to monitor performance over time. Finally, we learned how to export the Usage Report records and extract the MongoDB database to create an analytical database that we can query to establish insights into the performance of our Alteryx server.

After gaining knowledge and insights from the Alteryx Server reporting, we learned about methods for additional workflow validation and how to use software version control to maintain our workflow code base. First, we learned how to use Git and GitHub to record workflow changes and how those changes are found in the XML and Alteryx workflow....

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Data Engineering with Alteryx
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