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?

With so many options, it can be tough to decide on the right Azure service to use for routing or load balancing. Today, I’ll compare the current state of four Azure services.

Not every application is running on the latest frameworks or newest technologies. Sometimes, that we have to move a legacy application to Azure. Let’s explore the secrets to making it perform and scale appropriately with modern cloud hosting technologies.