In the last post, we explored the expensive nature of technical debt and bad development practices. Today, we look at how to create financial models that help you to understand your actual costs.

Bad development practices create debt. The interest on that debt can literally make or break a company, and nobody is immune. With Internet Explorer becoming the latest casualty, it's a good time to explore the problem.

Databricks is a powerful tool for processing data. This is big data, so how do we thing about implementing DevOps practices for these environments?

Knowing how Azure Data Factory is meant to be used, we can look at how to implement automation to validate and deploy the code from one environment to another.

Azure Data Factory provides some great features to make it quick and easy to load and transform data. Did you know it supports DevOps practices?