Microsoft Azure Data Lake Storage connection
To access your data in Microsoft Azure Data Lake Storage, create a connection asset for it.
Azure Data Lake Storage (ADLS) is a scalable data storage and analytics service that is hosted in Azure, Microsoft's public cloud. The Microsoft Azure Data Lake Storage connection supports access to both Gen1 and Gen2 Azure Data Lake Storage repositories.
Create a connection to Microsoft Azure Data Lake Storage
To create the connection asset, you need these connection details:
- WebHDFS URL: The WebHDFS URL for accessing HDFS.
To connect to a Gen 2 ADLS, use the format,
<account-name>is the name you used when you created the ADLS instance.
<file-system>, use the name of the container you created. For more information, see the Microsoft Data Lake Storage Gen2 documentation.
- Tenant ID: The Azure Active Directory tenant ID
- Client ID: The client ID for authorizing access to Microsoft Azure Data Lake Storage
- Client secret: The authentication key that is associated with the client ID for authorizing access to Microsoft Azure Data Lake Storage
Select Server proxy to access the Azure Data Lake Storage data source through a proxy server. Depending on its setup, a proxy server can provide load balancing, increased security, and privacy. The proxy server settings are independent of the authentication credentials and the personal or shared credentials selection.
- Proxy host: The proxy URL. For example,
- Proxy port number: The port number to connect to the proxy server. For example,
- The Proxy protocol selection for HTTP or HTTPS is optional.
For Private connectivity, to connect to a database that is not externalized to the internet (for example, behind a firewall), you must set up a secure connection.
Choose the method for creating a connection based on where you are in the platform
- In a project
- Click Assets > New asset > Data access tools > Connection. See Adding a connection to a project.
- In a catalog
- Click Add to catalog > Connection. See Adding a connection asset to a catalog.
- In a deployment space
- Click Add to space > Connection. See Adding connections to a deployment space.
- In the Platform assets catalog
- Click New connection. See Adding platform connections.
Next step: Add data assets from the connection
Where you can use this connection
You can use Microsoft Azure Data Lake Storage connections in the following workspaces and tools:
- Data quality rules (IBM Knowledge Catalog)
- DataStage (DataStage service). See Connecting to a data source in DataStage.
- Decision Optimization (Watson Studio and Watson Machine Learning)
- Metadata enrichment (IBM Knowledge Catalog)
- Metadata import (IBM Knowledge Catalog)
- SPSS Modeler (Watson Studio)
Platform assets catalog
Other catalogs (IBM Knowledge Catalog)
Azure Data Lake Storage authentication setup
To set up authentication, you need a tenant ID, client (or application) ID, and client secret.
- Create an Azure Active Directory (Azure AD) web application, get an application ID, authentication key, and a tenant ID.
- Then, you must assign the Azure AD application to the Azure Data Lake Storage account file or folder. Follow Steps 1, 2, and 3 at Service-to-service authentication with Azure Data Lake Storage using Azure Active Directory.
- Follow instructions in Acquire a token from Azure AD for authorizing requests from a client application. These steps create a new identity. After you create the identity, set permissions to grant the application access to your ADLS. The Microsoft Azure Data Lake Storage connection will use the associated Client ID, Client secret, and Tenant ID for the application.
- Give the Azure App access to the storage container using Storage Explorer. For instructions, see Use Azure Storage Explorer to manage directories and files in Azure Data Lake Storage Gen2.
Supported file types
The Microsoft Azure Data Lake Storage connection supports these file types: Avro, CSV, Delimited text, Excel, JSON, ORC, Parquet, SAS, SAV, SHP, and XML.
Parent topic: Supported connections