Implementing CD

The capacity to release changes quickly and reliably is not just a luxury in the rapidly changing field of data engineering, but rather a necessity. The technique that fills this need and serves as the cornerstone of contemporary DevOps practices is CD. The practical aspects of CD will be covered in this section, with a special emphasis on crucial elements such as deployment pipelines and the use of infrastructure as code.

The goal of CD is to completely automate the transfer of code changes from development to production, minimizing the need for manual intervention and lowering the possibility of human error. Data engineers can more effectively handle tasks ranging from minor updates to significant features by utilizing CD, and they can also make sure that code quality is maintained throughout all environments. You will learn more about deploying dependable and strong data pipelines, managing infrastructure, and achieving a high level of automation in your data...