General steps for deploying DataOps in your environment

Now that we know what the DataOps principles are and what parts of Alteryx build the DataOps pipeline, how would you implement DataOps into your company? The best way to demonstrate this would be to introduce an example we will use for our example process throughout the rest of this book.

The data pipeline example we will be following is this:

As a company, we want to enrich our marketing efforts by integrating regularly updated public datasets. We need to identify the source of these datasets (and make sure we have the legal authority to use them) and transform them to match our company areas. Then, we have to make them available to both the data science team for machine learning and to our operational teams across the organization.

This problem statement works well in identifying the process we need to implement, shown in Figure 3.3:

Figure 3.3 – An example process for starting a DataOps...