Deploy a Data Lake for an Atlas Cluster Data Store

Log in to MongoDB Atlas.

Select the Data Lake option on the left-hand navigation.

Create a Data Lake.

• For your first Data Lake, click Create a Data Lake.
• For your subsequent Data Lakes, click Configure a New Data Lake.

Select the configuration method.

• For a guided experience, click Visual Editor.
• To edit the raw JSON, click JSON Editor.

Specify your data store.

Create the virtual databases, collections, and views and map the databases, collections, and views to your data store.

1. (Optional) Click the for the:

   • Data Lake to specify a name for your Data Lake. Defaults to Data Lake[n].

   • Database to edit the database name. Defaults to Database[n].

     Corresponds to databases.[n].name JSON configuration setting.

   • Collection to edit the collection name. Defaults to Collection[n].

     Corresponds to databases.[n].collections.name JSON configuration setting.

   • View to edit the view name.

   You can click:

   • Create Database to add databases and collections.
   • associated with the database to add collections to the database.

   • associated with the collection to add views on the collection. To create a view, you must specify:

     • The name of the view.

     • The pipeline to apply to the view.

       Note

       The view definition pipeline cannot include the $out or the $merge stage. If the view definition includes nested pipeline stages such as $lookup or $facet, this restriction applies to those nested pipelines as well.

     To learn more about views, see:

     • Views
     • db.createView
   • associated with the database, collection, or view to remove it.

2. Drag and drop the data store to map with the collection.

   Corresponds to databases.[n].collections.[n].dataSources JSON configuration setting.

Click Save.