Final summary

DataOps is a framework that transforms how data engineers and Alteryx practitioners develop robust workflows for their users. The framework provides a set of principles that fit with Alteryx's iterative way of working.

But, as with any technology, it evolves. Even during the writing of this book, sections have been updated and changed as functionality has changed. Evolution will occur. It is the nature of software, and better methods are developed constantly. DataOps is the latest example of this evolution.

Keeping up with the changes in technology is continuous and rewarding. Finding a new method to improve your data pipelines gives a sense of personal achievement and is encouraged in the DataOps framework.

One day, the best tool for your application might not be Alteryx because of your specific project's requirements. Or Alteryx might be a templating tool for a particular data science project. No matter the situation, the principles discussed in...