Technical requirements
For this chapter, you will need the following prerequisites:
- The latest version of Docker installed on your machine. If you don't already have it installed, please follow the instructions at https://docs.docker.com/get-docker/.
- The latest version of docker-compose installed. Please follow the instructions at https://docs.docker.com/compose/install/.
- Access to Git on the command line and installed as described at https://git-scm.com/book/en/v2/Getting-Started-Installing-Git.
- Access to a Bash terminal (Linux or Windows).
- Access to a browser.
- Python 3.5+ installed.
- The latest version of your machine learning installed locally as described in Chapter 3, Your Data Science Workbench.
In the next section, we will describe the structure of our data pipeline, the data sources, and the different steps that we will execute to implement our practical example leveraging MLflow project features...