# Getting started with a Domain dataset group
<a name="getting-started-domain"></a>

 In this getting started tutorial you create a Domain dataset group for the VIDEO\$1ON\$1DEMAND domain, import interactions data from a CSV file, and create a recommender with the *Top picks for you* use case. Then you use the recommender to get personalized movie recommendations for a user. The tutorial uses historical data that consists of 100,000 movie ratings on 9,700 movies from 600 users. 

To begin, complete the [Getting started prerequisites](gs-prerequisites.md) and then depending on how you want to create Amazon Personalize resources, proceed to [Getting started with a Domain dataset group (console)](getting-started-console-domain.md), [Getting started with a Domain dataset group (SDK for Python (Boto3))](getting-started-domain-python.md), [Getting started with a Domain dataset group (SDK for Java 2.x)](domain-getting-started-java.md), or [Getting started with a Domain dataset group (SDK for JavaScript v3)](getting-started-domain-js.md).

When you finish the getting started exercise, to avoid incurring unnecessary charges, delete the resources that you created. For more information, see [Requirements for deleting Amazon Personalize resources](deleting-resources.md). 

**Topics**
+ [Getting started with a Domain dataset group (console)](getting-started-console-domain.md)
+ [Getting started with a Domain dataset group (SDK for Java 2.x)](domain-getting-started-java.md)
+ [Getting started with a Domain dataset group (SDK for Python (Boto3))](getting-started-domain-python.md)
+ [Getting started with a Domain dataset group (SDK for JavaScript v3)](getting-started-domain-js.md)