Catalog Source Configuration > Microsoft Azure SQL Server > Before you begin
  

Before you begin

Before you create a catalog source, ensure that you have the information required to connect to the source system.
Perform the following tasks:

Verify permissions

To extract metadata and to configure other capabilities that a catalog source might include, you need account access and permissions on the source system. The permissions required might vary depending on the capability.

Permissions to extract metadata

Ensure that you have the required permissions to enable metadata extraction.
Configure the VIEW DEFINITION permission for the user account.
Note: The VIEW DEFINITION permission lists all the schemas from where the user can load metadata.
Grant the following permissions before you configure the catalog source:

Permissions to run data profiles

Ensure that you have the required permissions to run profiles.
To perform data profiling on Microsoft Azure SQL Server, grant SELECT permissions for tables and views that you want to profile.

Permissions to perform data classification

You can perform data classification with the permissions required to perform metadata extraction.

Permissions to perform relationship discovery

You can perform relationship discovery with the permissions required to perform metadata extraction.

Permissions to perform glossary association

You can perform glossary association with the permissions required to perform metadata extraction.

Create a connection

Before you configure the Microsoft Azure SQL Server catalog source, create a connection object in Administrator.
    1In Administrator, select Connections.
    2Click New Connection.
    3In the Connection Details section, enter the following connection details:
    Connection property
    Description
    Connection Name
    Name of the connection.
    Each connection name must be unique within the organization. Connection names can contain alphanumeric characters, spaces, and the following special characters: _ . + -,
    Maximum length is 255 characters.
    Description
    Description of the connection. Maximum length is 4000 characters.
    4Select the SQL Server connection type.
    5Enter properties specific to the connection:
    Property
    Description
    Runtime Environment
    The name of the runtime environment where you want to run the tasks.
    A runtime environment is either Informatica Cloud Secure Agent or a serverless runtime environment.
    SQL Server Version
    This property is not applicable for Microsoft SQL Server Connector.
    Authentication Mode
    The authentication method to connect to Microsoft Azure SQL Server.
    Select one of the following authentication modes:
    • - SQL Server Authentication. Use the user name and password to connect to Microsoft Azure SQL Server.
    • - Active Directory Password. Use the Microsoft Azure Active Directory user name and password to authenticate and to access a Microsoft Azure SQL Database.
    • - Windows Authentication v2. Use this authentication method to access Microsoft Azure SQL Server using the agent hosted on a Linux or Windows machine. When you choose this option on Linux, enter your domain name and Microsoft Windows credentials to access Microsoft SQL Server.
    • - Service Principal Authentication. Use the client ID and client secret for your application registered in the ENTRA ID to access a Microsoft Azure SQL Database.
    Username
    User name to connect to the Microsoft SQL Server database.
    Password
    Password to connect to the Microsoft SQL Server database.
    Client ID
    Applicable if you select Service Principal Authentication. The client ID or application ID of your application registered in the ENTRA ID.
    Client Secret
    Applicable if you select Service Principal Authentication. The client secret key generated for the client ID to complete the OAuth authentication in the ENTRA ID.
    Host
    Name of the machine hosting the database server.
    To connect to Microsoft Azure SQL Database, specify the fully qualified host name.
    For example, vmjcmwxsfboheng.westus.cloudapp.azure.com.
    Port
    Network port number used to connect to the database server.
    Default is 1433.
    Code Page
    The code page of the database server.
    Schema
    Schema used for the target connection.
    Database Name
    Database name for the Microsoft SQL Server target connection.
    Database name is case-sensitive if the database is case-sensitive. Maximum length is 100 characters.
    Database names can include alphanumeric and underscore characters.
    Encryption Method
    The method that the Secure Agent uses to encrypt the data sent between the driver and the database server. You can use the encryption method to connect to Microsoft Azure SQL Database.
    Default is None.
    Crypto Protocol Version
    Cryptographic protocols to use when you enable SSL encryption.
    Validate Server Certificate
    When set to True, Secure Agent validates the certificate that is sent by the database server.
    If you specify the HostNameInCertificate parameter, Secure Agent also validates the host name in the certificate.
    When set to false, the Secure Agent doesn't validate the certificate that is sent by the database server.
    Trust Store
    The location and name of the truststore file. The truststore file contains a list of Certificate Authorities (CAs) that the driver uses for SSL server authentication.
    For the serverless runtime environment, specify the following certificate path in the serverless agent directory:
    /home/cldagnt/SystemAgent/serverless/configurations/ssl_store/<TrustStore_filename>
    Trust Store Password
    The password to access the contents of the truststore file.
    Host Name in Certificate
    Host name of the machine that hosts the secure database. If you specify a host name, the Secure Agent validates the host name included in the connection with the host name in the SSL certificate.
    6Click Test Connection.
    7Click Save.

Create endpoint catalog sources for connection assignment

An endpoint catalog source represents a source system that the catalog source references. Before you perform connection assignment, create endpoint catalog sources and run the catalog source jobs.
You can then perform connection assignment to reference source systems to view complete lineage with source system objects.

Import a relationship inference model

Import a relationship inference model if you want to configure the relationship discovery capability. You can either import a predefined relationship inference model, or import a model file from your local machine.
    1In Metadata Command Center, click Explore on the navigation panel.
    2Expand the menu and select Relationship Inference Model. The following image shows the Explore page with the Relationship Inference Model menu:The image shows the Explore page with the Relationship Inference Model menu and the Import Predefined Content options.
    3Select one of the following options:
    The imported models appear in the list of relationship inference models on the Relationship Discovery tab.