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  1. Preface
  2. Part 1: Hadoop Integration
  3. Part 2: Databricks Integration
  4. Appendix A: Connections

Microsoft Azure Data Lake Store Connection Properties

Microsoft Azure Data Lake Store Connection Properties

Use a Microsoft Azure Data Lake Store connection to access a Microsoft Azure Data Lake Store.
The order of the connection properties might vary depending on the tool where you view them.
You can create and manage a Microsoft Azure SQL Data Warehouse connection in the Administrator tool or the Developer tool. The following table describes the Microsoft Azure Data Lake Store connection properties:
Property
Description
Name
The name of the connection. The name is not case sensitive and must be unique within the domain. You can change this property after you create the connection. The name cannot exceed 128 characters, contain spaces, or contain the following special characters: ~ ` ! $ % ^ & * ( ) - + = { [ } ] | \ : ; " ' < , > . ? /
ID
String that the Data Integration Service uses to identify the connection. The ID is not case sensitive. It must be 255 characters or less and must be unique in the domain. You cannot change this property after you create the connection.
Default value is the connection name.
Description
The description of the connection. The description cannot exceed 4,000 characters.
Location
The domain where you want to create the connection.
Type
The connection type. Select Microsoft Azure Data Lake Store.
The following table describes the properties for metadata access:
Property
Description
ADLS Account Name
The name of the Microsoft Azure Data Lake Store.
ClientID
The ID of your application to complete the OAuth Authentication in the Active Directory.
Client Secret
The client secret key to complete the OAuth Authentication in the Active Directory.
Directory
The Microsoft Azure Data Lake Store directory that you use to read data or write data. The default is root directory.
AuthEndpoint
The OAuth 2.0 token endpoint from where access code is generated based on based on the Client ID and Client secret is completed.
For more information about creating a client ID, client secret, and auth end point, contact the Azure administrator or see Microsoft Azure Data Lake Store documentation.

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