Scambio dati AWS

In this lab, you will learn how you can easily view third-party data procured through AWS Data Exchange in the AWS DataBrew console and then, visually explore, combine, clean and transform the data to make it ready for analysis.

In this lab, you will learn how to invoke APIs you subscribed to via AWS Data Exchange.

• In Task 1, you will learn about the API Specification.
• In Tasks 2, 3, and 4, you will learn how to invoke the API with AWS Command Line Interface (CLI), Postman, and AWS SDK for Python (Boto3).

In this lab, you will learn how to use automatic data export feature to automatically receive data from future revisions directly into your Amazon S3 bucket.

In this lab, you will learn how to build an enterprise-level AWS procurement environment with Private Marketplace. You will learn how to create an AWS PMP, create AWS PMP experiences, curate the experiences with AWS Data Exchange products of your choice, assign/associate the experience with the AWS account group, activate/deactivate an experience, and approve a product request as a PMP administrator.

In this lab, you will use weather data from AWS Data Exchange to train an Amazon Personalize recommendations model. Once you have trained an ML model, you will test:

1. How context data such as temperature can affect recommendations for different users.
2. How context can help to reduce the cold start.

In this lab, you will add the data set you created as part of Create a data set into a brand new product and list it as a private product in the AWS Data Exchange catalog. As part of the listing process, you will also extend a private offer to your own account.