Working with containers
In the rapidly evolving field of analytics engineering, the ability to maintain consistency, efficiency, and collaboration across development teams is very important. A key technology enabling this is containerization, exemplified by tools such as Docker and the use of development containers or devcontainers in Visual Studio Code (VS Code). Containers are lightweight, standalone packages that contain everything needed to run a piece of software, including the code, runtime, system tools, libraries, and settings. Docker, a popular containerization platform, allows developers to package applications into containers, ensuring consistency across environments.
We will not explain Docker in detail here; instead, we will explain (on a higher level) how this technology allows us to have the same development environment for each developer. Docker uses a Dockerfile that contains the instructions to build images, which are used to execute code in a Docker container...
