Technical requirements
To follow the code examples in the chapter, all you need is familiarity with Python and any notebook environment, which could be a local setup such as Jupyter or an online notebook environment such as Google Colab, Kaggle, or SageMaker. You will also need an AWS account with full access to resources such as Redshift, S3, Glue, DynamoDB, the IAM console, and more. You can create a new account and use all the services for free during the trial period. In the last part, you will need an IDE environment to develop the REST endpoints for the online model. You can find the code examples of the book at the following GitHub link: https://github.com/PacktPublishing/Feature-Store-for-Machine-Learning/tree/main/Chapter05.