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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

Using Alteryx software with DataOps

The Alteryx platform components of Designer, Server, and Connect deliver the parts needed to support the DataOps framework pillars and fulfill the principles that make up those pillars. Each of the different software components fits across the People, Delivery, and Confidence pillars, serving the various functions needed to deliver in a DataOps framework.

In Figure 3.2, we have the same pillars from earlier, but with an overlay of where each Alteryx product interacts with the different pillars:

Figure 3.2 – DataOps pillars overlayed with the Alteryx products

In the diagram, we can see the three DataOps principles and how Designer supports the People and Delivery pillars, Connect enables the Confidence pillar, while Server supports the principles across all pillars.

Alteryx Designer

Building a DataOps pipeline will always start with development in Alteryx Designer. First, the quick iteration that I have been...

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Data Engineering with Alteryx
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